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ASSOCIATIVE SEQUENCE-LEARNING

  • Sequence learning
  • Method of human learning

    learning are debated. Other forms of implicit sequence learning include motor sequence learning, temporal sequence learning, and associative sequence

    Sequence learning

    Sequence_learning

  • Associative sequence learning
  • Theory of learning

    Associative sequence learning (ASL) is a neuroscientific theory that attempts to explain how mirror neurons are able to match observed and performed actions

    Associative sequence learning

    Associative_sequence_learning

  • Mirror neuron
  • Type of neuron associated with empathy

    mirror neurons are trained through Hebbian or Associative learning (see Associative Sequence Learning). However, if premotor neurons need to be trained

    Mirror neuron

    Mirror_neuron

  • Association (psychology)
  • Mental connection between ideas or mental states

    modern psychology in such areas as memory, learning, and the study of neural pathways. Associative learning is when a subject creates a relationship between

    Association (psychology)

    Association_(psychology)

  • Reinforcement learning
  • Field of machine learning

    in the plane). Associative reinforcement learning tasks combine facets of stochastic learning automata tasks and supervised learning pattern classification

    Reinforcement learning

    Reinforcement learning

    Reinforcement_learning

  • Bird intelligence
  • Study of intelligence in birds

    that associative learning in Florida scrub-jays correlated with reversal learning, personality, and baseline hormone levels. To measure associative learning

    Bird intelligence

    Bird intelligence

    Bird_intelligence

  • Machine learning
  • Subset of artificial intelligence

    close connection between machine learning and compression. A system that predicts the posterior probabilities of a sequence given its entire history can be

    Machine learning

    Machine_learning

  • Associative property
  • Property of a mathematical operation

    also associative, but multiplication of octonions is non-associative. The greatest common divisor and least common multiple functions act associatively. gcd

    Associative property

    Associative property

    Associative_property

  • Seq2seq
  • Family of machine learning approaches

    Smola, Alexander J. (2024). "10.7. Sequence-to-Sequence Learning for Machine Translation". Dive into deep learning. Cambridge New York Port Melbourne

    Seq2seq

    Seq2seq

    Seq2seq

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    they are optimized for representation learning, autoregressive generation, or conditional sequence-to-sequence tasks. The original version of the transformer

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • Deep learning
  • Branch of machine learning

    PMID 6953413. Nakano, Kaoru (1971). "Learning Process in a Model of Associative Memory". Pattern Recognition and Machine Learning. pp. 172–186. doi:10.1007/978-1-4615-7566-5_15

    Deep learning

    Deep learning

    Deep_learning

  • Attention (machine learning)
  • Machine learning technique

    machine learning, attention is a method that determines the importance of each component in a sequence relative to the other components in that sequence. In

    Attention (machine learning)

    Attention (machine learning)

    Attention_(machine_learning)

  • Intermodal mapping
  • Biomedical framework

    intermodal mapping hypothesis, adding that repeated experience and associative sequence learning are crucial components to this hypothesis. However, other studies

    Intermodal mapping

    Intermodal_mapping

  • Hopfield network
  • Form of artificial neural network

    used in modern machine learning. One origin of associative memory is human cognitive psychology, specifically the associative memory. Frank Rosenblatt

    Hopfield network

    Hopfield_network

  • Recurrent neural network
  • Class of artificial neural network

    Bart Kosko, a bidirectional associative memory (BAM) network is a variant of a Hopfield network that stores associative data as a vector. The bidirectionality

    Recurrent neural network

    Recurrent_neural_network

  • Cognitive architecture
  • Blueprint for intelligent agents

    and his 1973 thesis with Gordon H. Bower provided a theory of human associative memory. He included more aspects of his research on long-term memory

    Cognitive architecture

    Cognitive_architecture

  • Imitation
  • Behaviour in which an individual observes and replicates another's behaviour

    development. Appropriation (sociology) Articulation (sociology) Associative Sequence Learning Cognitive imitation Copycat crime Copycat suicide Identification

    Imitation

    Imitation

    Imitation

  • Quantum machine learning
  • Interdisciplinary research area

    quantum associative memories has been done by Dan Ventura and Tony Martinez and by Carlo A. Trugenberger in the late 1990s and early 2000s. Associative (or

    Quantum machine learning

    Quantum machine learning

    Quantum_machine_learning

  • Cecilia Heyes
  • British psychologist (born 1960)

    For example, her associative sequence learning model of imitation and mirror neurons suggests they are based on associative learning. However, she is

    Cecilia Heyes

    Cecilia Heyes

    Cecilia_Heyes

  • Ilya Sutskever
  • Computer scientist (born 1986)

    specializes in machine learning. He has made several major contributions to the field of deep learning, including sequence-to-sequence learning, reasoning models

    Ilya Sutskever

    Ilya Sutskever

    Ilya_Sutskever

  • Associative interference
  • Associative interference is a cognitive theory established on the concept of associative learning, which suggests that the brain links related elements

    Associative interference

    Associative interference

    Associative_interference

  • Imitation learning
  • Machine learning technique where agents learn from demonstrations

    approach models reinforcement learning as a sequence modelling problem. Similar to Behavior Cloning, it trains a sequence model, such as a Transformer

    Imitation learning

    Imitation_learning

  • Vocal learning
  • Ability to learn vocalization

    are frequently in the wrong sequence, errors that are similar to phonological mistakes made by young children when learning a language. As the bird ages

    Vocal learning

    Vocal_learning

  • Nebria brevicollis
  • Species of beetle

    brevicollis females exhibited a large variation in associative learning ability. It is likely that associative learning abilities are specific to one beetle's personality

    Nebria brevicollis

    Nebria brevicollis

    Nebria_brevicollis

  • Gordon music learning theory
  • Model for music education

    introduced in the aural/oral and verbal association level of the skill learning sequence. At the composite synthesis level, students give context to familiar

    Gordon music learning theory

    Gordon_music_learning_theory

  • Reinforcement learning from human feedback
  • Machine learning technique

    In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves

    Reinforcement learning from human feedback

    Reinforcement learning from human feedback

    Reinforcement_learning_from_human_feedback

  • Attention Is All You Need
  • 2017 research paper by Google

    V (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409

    Attention Is All You Need

    Attention Is All You Need

    Attention_Is_All_You_Need

  • Neural machine translation
  • Machine translation using artificial neural networks

    V. (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409

    Neural machine translation

    Neural_machine_translation

  • Memex
  • Hypothetical proto-hypertext system

    keystrokes." An associative trail as conceived by Bush would be a way to create a new linear sequence of microfilm frames across any arbitrary sequence of microfilm

    Memex

    Memex

    Memex

  • Idempotence
  • Property of operations

    Academy of Sciences (Washington, DC, USA): Peirce, Benjamin (1870) "Linear associative algebra" From pages 16–17: "When an expression which is raised to the

    Idempotence

    Idempotence

    Idempotence

  • Types of artificial neural networks
  • Classification of Artificial Neural Networks (ANNs)

    common in neural networks. Holographic Associative Memory (HAM) is an analog, correlation-based, associative, stimulus-response system. Information is

    Types of artificial neural networks

    Types_of_artificial_neural_networks

  • Dual-coding theory
  • Theory of cognition

    respective motor action. Multimedia learning Asch, Solomon E.; Ebenholtz, Sheldon M. (1962). "The Principle of Associative Symmetry". Proceedings of the American

    Dual-coding theory

    Dual-coding theory

    Dual-coding_theory

  • Learning disability
  • Range of neurodevelopmental conditions

    Learning disability, primarily learning disorder, or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending

    Learning disability

    Learning disability

    Learning_disability

  • Operant conditioning
  • Type of associative learning process for behavioral modification

    sequence "noise – turn-around – light – press lever – food". Much longer chains can be built by adding more stimuli and responses. In escape learning

    Operant conditioning

    Operant_conditioning

  • Neural network (machine learning)
  • Computational model used in machine learning

    the weights of an Ising model by Hebbian learning rule as a model of associative memory, adding in learning. This was popularized as the Hopfield network

    Neural network (machine learning)

    Neural network (machine learning)

    Neural_network_(machine_learning)

  • Human contingency learning
  • with fast-paced sequence-learning tasks, pathway-strengthening is accounted for in the gradual speeding of their responses. Associative models assume that

    Human contingency learning

    Human_contingency_learning

  • Parten's stages of play
  • 1929 theory about children by Mildred Parten Newhall

    onlooker type of play, to a more socially mature associative and cooperative type of play. Associative play – when the child is interested in the people

    Parten's stages of play

    Parten's_stages_of_play

  • Sleep and learning
  • sequence of numbers on a keyboard, and their performances were measured by accuracy and speed. This finger-tapping task was used to simulate learning

    Sleep and learning

    Sleep_and_learning

  • Convolutional neural network
  • Type of feedforward neural network

    learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different

    Convolutional neural network

    Convolutional_neural_network

  • Pattern recognition
  • Automated recognition of patterns and regularities in data

    "Pattern Recognition and Machine Learning". Kybernetes. 36 (2): 275. doi:10.1108/03684920710743466. ISSN 0368-492X. "Sequence Labeling" (PDF). utah.edu. Archived

    Pattern recognition

    Pattern_recognition

  • Parallel play
  • Form of play with no direct interaction

    one of Parten's stages of play, following onlooker play and preceding associative play. An observer will notice that the children occasionally see what

    Parallel play

    Parallel play

    Parallel_play

  • Lesson plan
  • Description of the course of instruction for a lesson

    course of instruction or "learning trajectory" for a lesson. A daily lesson plan is developed by a teacher to guide class learning. Details will vary depending

    Lesson plan

    Lesson_plan

  • Decision tree learning
  • Machine learning algorithm

    pairwise dissimilarities such as categorical sequences. Decision trees are among the most popular machine learning algorithms given their intelligibility and

    Decision tree learning

    Decision_tree_learning

  • Finite-state machine
  • Mathematical model of computation

    devices in modern society that perform a predetermined sequence of actions depending on a sequence of events with which they are presented. Simple examples

    Finite-state machine

    Finite-state machine

    Finite-state_machine

  • Memory
  • Faculty of mind to store and retrieve data

    the expression of IEGs in a type of learning experience in mice termed associative fear memory. Such a learning experience appears to rapidly trigger

    Memory

    Memory

    Memory

  • Prefix sum
  • Sequence in computer science

    parallel algorithms. Abstractly, a prefix sum requires only a binary associative operator ⊕, making it useful for many applications from calculating well-separated

    Prefix sum

    Prefix_sum

  • Transfer of learning
  • Educational psychology concept

    of the new information. These connections can build up a framework of associative networks that students can call upon for future problem-solving. Information

    Transfer of learning

    Transfer_of_learning

  • Picture superiority effect
  • Psychological phenomenon

    thought to underlie recognition memory is not clear. In experiments of associative recognition memory, participants studied random concrete word pairs,

    Picture superiority effect

    Picture superiority effect

    Picture_superiority_effect

  • Adversarial machine learning
  • Research field that lies at the intersection of machine learning and computer security

    Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques

    Adversarial machine learning

    Adversarial_machine_learning

  • Support vector machine
  • Set of methods for supervised statistical learning

    In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms

    Support vector machine

    Support_vector_machine

  • Artificial intelligence
  • Intelligence of machines

    computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making

    Artificial intelligence

    Artificial_intelligence

  • Hebbian theory
  • Neuroscientific theory

    requires temporal precedence. Hebbian theory attempts to explain associative or Hebbian learning, in which simultaneous activation of cells leads to pronounced

    Hebbian theory

    Hebbian_theory

  • Animal behaviour
  • first studies of associative learning were made by the Russian physiologist Ivan Pavlov, who observed that dogs trained to associate food with the ringing

    Animal behaviour

    Animal_behaviour

  • Hierarchical temporal memory
  • Biological theory of intelligence

    core of HTM are learning algorithms that can store, learn, infer, and recall high-order sequences. Unlike most other machine learning methods, HTM constantly

    Hierarchical temporal memory

    Hierarchical_temporal_memory

  • Implicit learning
  • Unintentional learning of complex information

    learning. The topic has been studied in relation to real world systems (dynamic control systems), artificial grammar learning and sequence learning most

    Implicit learning

    Implicit_learning

  • Feature learning
  • Set of learning techniques in machine learning

    In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations

    Feature learning

    Feature learning

    Feature_learning

  • Perruchet effect
  • automatic associative strength and propositional expectation's effects on associative learning and conditioning, i.e., the cognitive learning process with

    Perruchet effect

    Perruchet_effect

  • Association rule learning
  • Method for discovering interesting relations between variables in databases

    extracted from RDBMS data or semantic web data. Contrast set learning is a form of associative learning. Contrast set learners use rules that differ meaningfully

    Association rule learning

    Association_rule_learning

  • Genome
  • All genetic material of an organism

    genetic information of an organism or cell. It consists of nucleotide sequences of DNA (or RNA in RNA viruses). The nuclear genome includes protein-coding

    Genome

    Genome

    Genome

  • AlphaFold
  • Artificial intelligence program by DeepMind

    a public repository of protein sequences and structures. The program uses a form of attention network, a deep learning technique that focuses on having

    AlphaFold

    AlphaFold

    AlphaFold

  • Large language model
  • Type of machine learning model

    3390/rs13224712. Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. (2014). "Sequence to sequence learning with neural networks". Proceedings of the 28th International

    Large language model

    Large_language_model

  • Concept
  • Fundamental unit of cognition

    an individual can use it. Suggested learning mechanisms include associative learning, in which similarities are gradually noticed as learners encounter

    Concept

    Concept

  • Diffusion model
  • Technique for the generative modeling of a continuous probability distribution

    In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable

    Diffusion model

    Diffusion_model

  • Hash table
  • Associative array for storing key–value pairs

    is a data structure that implements an associative array, also called a dictionary or simply map; an associative array is an abstract data type that maps

    Hash table

    Hash table

    Hash_table

  • Generative pre-trained transformer
  • Type of large language model

    token in a sequence. Previously, the best-performing neural models in natural language processing (NLP) had commonly employed supervised learning from large

    Generative pre-trained transformer

    Generative pre-trained transformer

    Generative_pre-trained_transformer

  • History of artificial neural networks
  • weights of an Ising model by Hebbian learning rule as a model of associative memory, adding in the component of learning. This was popularized as the Hopfield

    History of artificial neural networks

    History_of_artificial_neural_networks

  • Normalization (machine learning)
  • Machine learning technique

    In machine learning, normalization is a statistical technique with various applications. There are two main forms of normalization, namely data normalization

    Normalization (machine learning)

    Normalization_(machine_learning)

  • DNA sequencing
  • Process of determining the nucleic acid sequence

    DNA sequencing is the process of determining the nucleic acid sequence – the order of nucleotides in DNA. It includes any method or technology that is

    DNA sequencing

    DNA sequencing

    DNA_sequencing

  • Second-language acquisition
  • Process of learning a second language

    Krashen, S. D. (1974). "Is there a "natural sequence" in adult second language learning?". Language Learning. 24 (2): 235–243. doi:10.1111/j.1467-1770.1974

    Second-language acquisition

    Second-language_acquisition

  • Regulatory sequence
  • Segment of nucleic acid that affects the expression of associated genes

    A regulatory sequence is a segment of a nucleic acid molecule which is capable of increasing or decreasing the expression of specific genes within an organism

    Regulatory sequence

    Regulatory_sequence

  • Motor learning
  • Movements that reflect nervous system changes

    the task for performance and learning purposes, however the extent to which it affects learning is unknown. The associative function of KR is likely to

    Motor learning

    Motor_learning

  • Chunking (psychology)
  • Cognitive psychology process

    implementing psychologically plausible processes of attention, memory, and associative learning. In a recent study, it was determined that these chunking models

    Chunking (psychology)

    Chunking_(psychology)

  • List of datasets for machine-learning research
  • labelling unsegmented sequence data with recurrent neural networks." Proceedings of the 23rd international conference on Machine learning. ACM, 2006. Velloso

    List of datasets for machine-learning research

    List_of_datasets_for_machine-learning_research

  • Lazy learning
  • Type of machine learning method

    Satapathy, Biswajit; Ibrahim, S. P. Syed (2019). Integration of lazy learning associative classification with kNN algorithm. pp. 1–4. doi:10.1109/ViTECoN.2019

    Lazy learning

    Lazy_learning

  • Kinesthetic learning
  • Learning by physical activities

    Kinesthetic learning (American English), kinaesthetic learning (British English), or tactile learning is learning that involves physical activity. As

    Kinesthetic learning

    Kinesthetic_learning

  • Encoding (memory)
  • Biological memory process in organisms

    memory models that can be applied to sequence encoding: associative chaining and positional coding. Associative chaining theory states that every item

    Encoding (memory)

    Encoding_(memory)

  • Epigenetics in learning and memory
  • Heritable characteristics affecting learning

    observed. These data suggest that during memory consolidation in associative learning tasks, CpG methylation is used to inhibit the expression of PP1,

    Epigenetics in learning and memory

    Epigenetics_in_learning_and_memory

  • Statistical classification
  • Categorization of data using statistics

    considered to be possible values of the dependent variable. In machine learning, the observations are often known as instances, the explanatory variables

    Statistical classification

    Statistical_classification

  • Sequence assembly
  • Method of DNA sequence reconstruction

    bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. This is

    Sequence assembly

    Sequence_assembly

  • Order of operations
  • Performing order of mathematical operations

    multiplication by the reciprocal (multiplicative inverse), then the associative and commutative laws of multiplication allow the factors in each term

    Order of operations

    Order_of_operations

  • Explainable artificial intelligence
  • AI whose outputs can be understood by humans

    (XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans

    Explainable artificial intelligence

    Explainable_artificial_intelligence

  • Tensor (machine learning)
  • Concept in machine learning

    In machine learning, the term tensor informally refers to two different concepts: (i) a way of organizing data and (ii) a multilinear (tensor) transformation

    Tensor (machine learning)

    Tensor_(machine_learning)

  • Topological deep learning
  • Research field in deep learning

    deep learning (TDL) is a research field that extends deep learning to handle complex, non-Euclidean data structures. Traditional deep learning models

    Topological deep learning

    Topological_deep_learning

  • Language acquisition
  • Process in which a first language is being acquired

    language learning, it became apparent to linguists, psychologists, and philosophers that knowing a language was not merely a matter of associating words

    Language acquisition

    Language_acquisition

  • Learning through play
  • Concept in education and psychology

    Learning through play is a term used in education and psychology to describe how a child can learn to make sense of the world around them. Through play

    Learning through play

    Learning_through_play

  • Applications of artificial intelligence
  • computational systems to perform tasks that are typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making

    Applications of artificial intelligence

    Applications_of_artificial_intelligence

  • Hypercomplex number
  • Element of a unital algebra over the field of real numbers

    system became associative algebra, as seen in the title of Wedderburn's thesis at University of Edinburgh. Note, however, that non-associative systems like

    Hypercomplex number

    Hypercomplex_number

  • Sequence alignment
  • Process in bioinformatics that identifies equivalent sites within molecular sequences

    In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence

    Sequence alignment

    Sequence alignment

    Sequence_alignment

  • Multi-armed bandit
  • Resource problem in machine learning

    into two broad categories detailed below. LinRel (Linear Associative Reinforcement Learning) algorithm: Similar to LinUCB, but utilizes singular value

    Multi-armed bandit

    Multi-armed bandit

    Multi-armed_bandit

  • Catalan number
  • Recursive integer sequence

    The Catalan numbers are a sequence of natural numbers that occur in various counting problems, often involving recursively defined objects. They are named

    Catalan number

    Catalan number

    Catalan_number

  • Gamification of learning
  • Educational approach aiming to promote learning by using video game design and elements

    learning preferences, and offers students autonomy such as choosing which learning activities to tackle, how to approach tasks, and in what sequence supports

    Gamification of learning

    Gamification of learning

    Gamification_of_learning

  • Computer vision
  • Computerized information extraction from images

    information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanner

    Computer vision

    Computer_vision

  • BCPNN
  • Artificial neural network

    abstract model of biological neural networks and associative memory. BCPNN has been used for machine learning classification and data mining, for example for

    BCPNN

    BCPNN

  • No free lunch theorem
  • Mathematical folklore

    machine learning research. If Occam's razor is correct, for example if sequences of lower Kolmogorov complexity are more probable than sequences of higher

    No free lunch theorem

    No_free_lunch_theorem

  • Concept learning
  • Term in educational psychology

    Associated concepts are connected by the individual’s past and own perception. Associative concept learning (also called functional concept learning)

    Concept learning

    Concept_learning

  • Epigenetics in insects
  • methyltransferases during learning and memory formation has been studied. If DNA methyltransferases are inhibited during an associative learning paradigm, in which

    Epigenetics in insects

    Epigenetics_in_insects

  • Storage (memory)
  • Second stage of the memory process

    PMID 27367593. Fonollosa, J.; Neftci, E.; Rabinovich, M. (2015). "Learning of chunking sequences in cognition and behavior". PLOS Computational Biology. 11 (11)

    Storage (memory)

    Storage_(memory)

  • Long short-term memory
  • Recurrent neural network architecture

    is its advantage over other RNNs, hidden Markov models, and other sequence learning methods. It aims to provide a short-term memory for RNN that can last

    Long short-term memory

    Long short-term memory

    Long_short-term_memory

  • Model-free (reinforcement learning)
  • Class of reinforcement learning algorithm

    function by reusing existing value estimates. TD learning has the ability to learn from an incomplete sequence of events without waiting for the final outcome

    Model-free (reinforcement learning)

    Model-free_(reinforcement_learning)

  • Deformed wing virus
  • Species of virus

    after infection. Furthermore, infected bees show impairment in an associative learning paradigm during acquisition and in the test for memory retention

    Deformed wing virus

    Deformed wing virus

    Deformed_wing_virus

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Online names & meanings

  • Vivash
  • Boy/Male

    Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi

    Vivash

    Bright; Sweet Smile; Smile

  • Sunam
  • Boy/Male

    Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu

    Sunam

    Good Name; Fame; Famous

  • Vipaschit | விபஷ்சித
  • Boy/Male

    Tamil

    Vipaschit | விபஷ்சித

    Lord Buddha

  • Istaka
  • Boy/Male

    Indian, Sanskrit

    Istaka

    A Brick is Used in Preparing the Ceremonial Altar

  • Nihan
  • Boy/Male

    Hindu

    Nihan

    Goddess Saraswati

  • ESMOND
  • Male

    English

    ESMOND

    Variant spelling of Middle English Estmond, ESMOND means "gracious protector." 

  • Satchidanand
  • Boy/Male

    Hindu, Indian

    Satchidanand

    One whose at Peace; One who is Always Happy Soul

  • Abdul-Kader
  • Boy/Male

    Arabic, Muslim

    Abdul-Kader

    Servant of the Able

  • HISE-T-A-MATROTA
  • Female

    Egyptian

    HISE-T-A-MATROTA

    , a wife of Rameses III.

  • Amarit
  • Girl/Female

    Indian, Punjabi, Sikh

    Amarit

    God's Nectar

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Other words and meanings similar to

ASSOCIATIVE SEQUENCE-LEARNING

AI search in online dictionary sources & meanings containing ASSOCIATIVE SEQUENCE-LEARNING

ASSOCIATIVE SEQUENCE-LEARNING

  • Sequent
  • n.

    That which follows as a result; a sequence.

  • Sequence
  • n.

    A melodic phrase or passage successively repeated one tone higher; a rosalia.

  • Sequence
  • n.

    Simple succession, or the coming after in time, without asserting or implying causative energy; as, the reactions of chemical agents may be conceived as merely invariable sequences.

  • Associative
  • a.

    Having the quality of associating; tending or leading to association; as, the associative faculty.

  • Sequence
  • n.

    The state of being sequent; succession; order of following; arrangement.

  • Associate
  • a.

    Closely connected or joined with some other, as in interest, purpose, employment, or office; sharing responsibility or authority; as, an associate judge.

  • Sequence
  • n.

    That which follows or succeeds as an effect; sequel; consequence; result.

  • Associate
  • v. i.

    To unite in company; to keep company, implying intimacy; as, congenial minds are disposed to associate.

  • Sequence
  • n.

    Three or more cards of the same suit in immediately consecutive order of value; as, ace, king, and queen; or knave, ten, nine, and eight.

  • Associate
  • v. t.

    To join with one, as a friend, companion, partner, or confederate; as, to associate others with us in business, or in an enterprise.

  • Associate
  • a.

    Admitted to some, but not to all, rights and privileges; as, an associate member.

  • Associate
  • a.

    Connected by habit or sympathy; as, associate motions, such as occur sympathetically, in consequence of preceding motions.

  • Association
  • n.

    The act of associating, or state of being associated; union; connection, whether of persons of things.

  • Associate
  • n.

    One connected with an association or institution without the full rights or privileges of a regular member; as, an associate of the Royal Academy.

  • Sequence
  • n.

    All five cards, of a hand, in consecutive order as to value, but not necessarily of the same suit; when of one suit, it is called a sequence flush.

  • Associating
  • p. pr. & vb. n.

    of Associate

  • Sequence
  • n.

    Any succession of chords (or harmonic phrase) rising or falling by the regular diatonic degrees in the same scale; a succession of similar harmonic steps.

  • Sequence
  • n.

    A hymn introduced in the Mass on certain festival days, and recited or sung immediately before the gospel, and after the gradual or introit, whence the name.

  • Association
  • n.

    Union of persons in a company or society for some particular purpose; as, the American Association for the Advancement of Science; a benevolent association. Specifically, as among the Congregationalists, a society, consisting of a number of ministers, generally the pastors of neighboring churches, united for promoting the interests of religion and the harmony of the churches.

  • Sentence
  • v. t.

    To decree or announce as a sentence.