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Supervised machine learning techniques
predicting structured objects, rather than discrete or real values. Similar to commonly used supervised learning techniques, structured prediction models
Structured_prediction
Type of biological prediction
Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its
Protein_structure_prediction
Crystal structure prediction (CSP) is the calculation of the crystal structures of solids from first principles. Reliable methods of predicting the crystal
Crystal_structure_prediction
Protein structure prediction challenge
Critical Assessment of Structure Prediction (CASP), sometimes called Critical Assessment of Protein Structure Prediction, is a community-wide, worldwide
CASP
Topics referred to by the same term
Secondary structure prediction is a set of techniques in bioinformatics that aim to predict the secondary structures of proteins and nucleic acid sequences
Secondary structure prediction
Secondary_structure_prediction
This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling
List of protein structure prediction software
List_of_protein_structure_prediction_software
list of RNA structure prediction software is a compilation of software tools and web portals used for nucleic acid structure prediction. The single sequence
List of RNA structure prediction software
List_of_RNA_structure_prediction_software
Type of machine learning model
that sequence into an embedding. On tasks such as structure prediction and mutational outcome prediction, a small model using an embedding as input can approach
Large_language_model
Class of algorithms for pattern analysis
y_{i})} and learn for it a corresponding weight w i {\displaystyle w_{i}} . Prediction for unlabeled inputs, i.e., those not in the training set, are treated
Kernel_method
Type of neural network which utilizes recursion
recursively over a structured input, to produce a structured prediction over variable-size input structures, or a scalar prediction on it, by traversing
Recursive_neural_network
Class of statistical modeling methods
applied in pattern recognition and machine learning and used for structured prediction. Whereas a classifier predicts a label for a single sample without
Conditional_random_field
Statement about a future event
prediction (from Latin prae- 'before' and dictum 'something said') or forecast is a statement about a future event or about future data. Predictions are
Prediction
Artificial intelligence program by DeepMind
developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. It is designed using deep learning techniques. AlphaFold 1
AlphaFold
Set of methods for supervised statistical learning
flexibility in being applied to a wide variety of tasks, including structured prediction problems. It is not clear that SVMs have better predictive performance
Support_vector_machine
Machine learning technique
(2017-11-08). DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO2 sensor data. 4th ACM International Conference on Systems for
Transfer_learning
Process of automating the application of machine learning
such as data engineering, data exploration and model interpretation and prediction. Automated machine learning can target various stages of the machine learning
Automated_machine_learning
Deep learning architecture
is based on the Structured State Space sequence (S4) model. To enable handling long data sequences, Mamba incorporates the Structured State Space sequence
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
Method used to normalize the range of independent variables
(2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer. ISBN 978-0-387-84884-6. Han, Jiawei; Kamber, Micheline; Pei
Feature_scaling
Technique for the generative modeling of a continuous probability distribution
}(x_{t},t)-z\right\|^{2}\right]} resulted in better models. After a noise prediction network is trained, it can be used for generating data points in the original
Diffusion_model
Overview of and topical guide to machine learning
Reinforcement Learning Semi-supervised learning Statistical learning Structured prediction Graphical models Bayesian network Conditional random field (CRF)
Outline_of_machine_learning
Type of convolutional neural network
translation to estimate fluorescent stains In binding site prediction of protein structure. U-Net was created by Olaf Ronneberger, Philipp Fischer, Thomas
U-Net
Set of statistical processes for estimating the relationships among variables
conceptually distinct purposes. First, regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field
Regression_analysis
Subset of artificial intelligence
output distribution). Conversely, an optimal compressor can be used for prediction (by finding the symbol that compresses best, given the previous history)
Machine_learning
Predicting 3D protein structure from its sequence
computational biology, de novo protein structure prediction refers to an algorithmic process by which protein tertiary structure is predicted from its amino acid
De novo protein structure prediction
De_novo_protein_structure_prediction
Machine learning strategy
individual data instances. The candidate instances are those for which the prediction is most ambiguous. Instances are drawn from the entire data pool and assigned
Active learning (machine learning)
Active_learning_(machine_learning)
Memory unit used in neural networks
Jürgen Schmidhuber; Fred Cummins (1999). "Learning to forget: Continual prediction with LSTM". 9th International Conference on Artificial Neural Networks:
Gated_recurrent_unit
Integrated circuit technology
Neuromorphic computing is a computing approach inspired by the human brain's structure and function. It uses artificial neurons to perform computations, mimicking
Neuromorphic_computing
Machine learning algorithm
multiclass classification and regression, the structured SVM allows training of a classifier for general structured output labels. As an example, a sample instance
Structured support vector machine
Structured_support_vector_machine
Measurable property or characteristic
linear predictor function that is used to determine a score for making a prediction. The vector space associated with these vectors is often called the feature
Feature_(machine_learning)
Machine learning methods using multiple input modalities
generation, all input tokens are masked, and the highest-confidence predictions are included for the next iteration, until all tokens are predicted.
Multimodal_learning
Framework for machine learning
recognition, and bioinformatics. The goals of learning are understanding and prediction. Learning falls into many categories, including supervised learning, unsupervised
Statistical_learning_theory
Concept in machine learning
use of information during model training that would not be available at prediction time. This results in overly optimistic performance estimates, as the
Leakage_(machine_learning)
Computational prediction of nucleic acid structure
acid structure prediction is a computational method to determine secondary and tertiary nucleic acid structure from its sequence. Secondary structure can
Nucleic acid structure prediction
Nucleic_acid_structure_prediction
Smooth approximation of one-hot arg max
probability predictions densely distributed over its support. Other functions like sparsemax or α-entmax can be used when sparse probability predictions are desired
Softmax_function
Tree-based ensemble machine learning methods
by most trees. For regression tasks, the output is the average of the predictions of the trees. Random forests correct for decision trees' habit of overfitting
Random_forest
Machine learning technique
arXiv:2010.11929. Jumper, John (2021). "Highly accurate protein structure prediction with AlphaFold". Nature. 596 (7873): 583–589. Bibcode:2021Natur.596
Attention_(machine_learning)
Algorithm for modelling sequential data
pretraining and fine-tuning commonly include: language modeling next-sentence prediction question answering reading comprehension sentiment analysis paraphrasing
Transformer_(deep_learning)
Machine learning-powered structure design
consumption, model size or inference time (i.e., the time required to obtain a prediction). Because of that, researchers created a multi-objective search. LEMONADE
Neural_architecture_search
Computer programming concept
estimates once the outcome is known, TD methods adjust predictions to match later, more-accurate predictions about the future, before the outcome is known. This
Temporal_difference_learning
Machine learning calibration technique
large networks like ResNet has high accuracy but is overconfident in predictions. A 2017 paper proposed temperature scaling, which simply multiplies the
Platt_scaling
Field of machine learning
similarly to dynamic programming to achieve optimality, first addressing the prediction problem and then extending to policy improvement and control, all based
Reinforcement_learning
Models used to produce word embeddings
used in similar contexts. The order of context words does not influence prediction (bag of words assumption). In the continuous skip-gram architecture, the
Word2vec
Programming paradigm
biophysics-based modelling of molecular mechanisms, in areas such as protein structure prediction and drug discovery. These applications demonstrate the potential
Differentiable_programming
Three dimensional shape of a protein
geometry into the prediction of protein structures. Wrinch demonstrated this with the Cyclol model, the first prediction of the structure of a globular protein
Protein_tertiary_structure
Recurrent neural network architecture
the LSTM network to maintain useful, long-term dependencies to make predictions, both in current and future time-steps. LSTM has wide applications in
Long_short-term_memory
Extracting features from raw data for machine learning
purpose of being used to either train models (by data scientists) or make predictions (by applications that have a trained model). It is a central location
Feature_engineering
Optimization algorithm for artificial neural networks
Prediction by Using a Connectionist Network with Internal Delay Lines". In Weigend, Andreas S.; Gershenfeld, Neil A. (eds.). Time Series Prediction:
Backpropagation
Machine learning paradigm
generated labels that a model assigns to unlabeled data based on its own predictions. They are widely used in self-supervised and semi-supervised learning
Self-supervised_learning
2019 text-generating language model
performing a single prediction "can occupy a CPU at 100% utilization for several minutes", and even with GPU processing, "a single prediction can take seconds"
GPT-2
Class of artificial neural network
of proteins Several prediction tasks in the area of business process management Prediction in medical care pathways Predictions of fusion plasma disruptions
Recurrent_neural_network
Biomolecule consisting of chains of amino acid residues
protein. Linus Pauling is credited with the successful prediction of regular protein secondary structures based on hydrogen bonding, an idea first put forth
Protein
Type of artificial neural network
also known as linear regression. Legendre and Gauss used it for the prediction of planetary movement from training data. In 1943, Warren McCulloch and
Feedforward_neural_network
Class of artificial neural networks
the corresponding node representations in the same way. For graph-level prediction tasks, GNNs typically use a permutation-invariant readout function, whose
Graph_neural_network
Method in machine learning
was fit. Predictions from these 100 smoothers were then made across the range of the data. The black lines represent these initial predictions. The lines
Bootstrap_aggregating
Problem in network theory
independently. Structured prediction approaches capture the correlation between potential links by formulating the task as a collective link prediction task. Collective
Link_prediction
Data analysis technique
classification performance was improved when such techniques were introduced. The prediction of mechanical signals based on data augmentation brings a new generation
Data_augmentation
Machine learning algorithm
Structured k-nearest neighbours (SkNN) is a machine learning algorithm that generalizes k-nearest neighbors (k-NN). k-NN supports binary classification
Structured_kNN
Principle in statistical learning theory
y ) {\displaystyle L({\hat {y}},y)} which measures how different the prediction y ^ {\displaystyle {\hat {y}}} of a hypothesis is from the true outcome
Empirical_risk_minimization
Tasks in machine learning
algorithms that can learn from and make predictions on data. Such algorithms function by making data-driven predictions or decisions, through building a mathematical
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
Flaw in mathematical modelling
see Figure 2.) Such a model will typically fail severely when making predictions. Overfitting is related to both the complexity of the chosen model and
Overfitting
Type of feedforward neural network
This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. CNNs
Convolutional_neural_network
Deep learning generative model to encode data representation
ML]. Sohn, Kihyuk; Lee, Honglak; Yan, Xinchen (2015-01-01). Learning Structured Output Representation using Deep Conditional Generative Models (PDF).
Variational_autoencoder
Machine learning algorithm
training data with replacement, and voting the trees for a consensus prediction. A random forest classifier is a specific type of bootstrap aggregating
Decision_tree_learning
Statistics and machine learning technique
a hypothesis space to find a suitable hypothesis that will make good predictions with a particular problem. Even if this space contains hypotheses that
Ensemble_learning
British AI researcher (born 1976)
Prize in Chemistry for their AI research contributions to protein structure prediction. Hassabis is a Fellow of the Royal Society and has won awards for
Demis_Hassabis
American chemist and computer scientist (born 1985)
Hassabis were awarded the 2024 Nobel Prize in Chemistry for protein structure prediction. As of 2025[update] Jumper serves as director at Google DeepMind
John_M._Jumper
Algorithm for supervised learning of binary classifiers
of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with
Perceptron
Computational model used in machine learning
onward, the use of neural networks transformed the field of protein structure prediction, in particular when the first cascading networks were trained on
Neural network (machine learning)
Neural_network_(machine_learning)
Automated recognition of patterns and regularities in data
Weiss, Sholom M. (1991). Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems
Pattern_recognition
AI that learns decision rules from data
comprise a set of rules, or knowledge base, that collectively make up the prediction model usually known as decision algorithm. Rules can also be interpreted
Rule-based_machine_learning
American biochemist and computational biologist (born 1962)
develop biomolecular structure prediction and design software. His group has regularly competed in the CASP structure prediction competition, specializing
David_Baker_(biochemist)
Platforms for betting on events
Prediction markets, also known as betting markets, information markets, decision markets, idea futures, or event derivatives, are open markets that enable
Prediction_market
General three-dimensional form of local segments of proteins
to PDB structures, against which the predictions are benchmarked. Accurate secondary-structure prediction is a key element in the prediction of tertiary
Protein_secondary_structure
Machine learning model for vision processing
have found application in image recognition, image segmentation, weather prediction, and autonomous driving. Transformers were introduced in Attention Is
Vision_transformer
Approach in data analysis
compute the mean or standard deviation. They were also removed to better predictions from models such as linear regression, and more recently their removal
Anomaly_detection
BOINC based volunteer computing project researching protein folding
Rosetta@home is a volunteer computing project researching protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC)
Rosetta@home
Machine learning technique
residuals as in traditional boosting. It gives a prediction model in the form of an ensemble of weak prediction models, i.e., models that make very few assumptions
Gradient_boosting
Statistical method in data analysis
deliberately restricted to manageable downscaled subsamples, while label prediction can be applied broadly to the full dataset once the hierarchy and classifiers
Hierarchical_clustering
Representation in natural language processing
sentences. Skip-Thought trains an encoder-decoder structure for the task of neighboring sentences predictions; this has been shown to achieve worse performance
Sentence_embedding
List of notable protein secondary structure prediction programs List of protein structure prediction software Protein structure prediction
List of protein secondary structure prediction programs
List_of_protein_secondary_structure_prediction_programs
Process of analyzing large data sets
multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data
Data_mining
Method of measuring prediction error
error, also called out-of-bag estimate, is a method of measuring the prediction error of random forests, boosted decision trees, and other machine learning
Out-of-bag_error
software tools and web portals used for gene prediction. Gene prediction List of RNA structure prediction software Comparison of software for molecular
List of gene prediction software
List_of_gene_prediction_software
Property of a model
between a model's complexity, the accuracy of its predictions, and how well it can make predictions on previously unseen data that were not used to train
Bias–variance_tradeoff
Machine learning technique where agents learn from demonstrations
Bagnell, Drew (2011-06-14). "A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning". Proceedings of the Fourteenth International
Imitation_learning
Neural network that learns efficient data encoding in an unsupervised manner
(2014). "Deep autoencoder neural networks for gene ontology annotation predictions". Proceedings of the 5th ACM Conference on Bioinformatics, Computational
Autoencoder
Three-dimensional arrangement of atoms in an amino acid-chain molecule
methods for the computational prediction of protein structure from its sequence have been developed. Ab initio prediction methods use just the sequence
Protein_structure
Set of learning techniques in machine learning
generate feature representations with the model which result in high label prediction accuracy. Examples include supervised neural networks, multilayer perceptrons
Feature_learning
Problem in machine learning and statistical classification
original training set, and must learn to distinguish these two classes. At prediction time, a voting scheme is applied: all K (K − 1) / 2 classifiers are applied
Multiclass_classification
Method of machine learning
in data availability and resource scarcity respectively. Stock trend prediction and user profiling are some examples of data streams where new data becomes
Incremental_learning
3D conformation of a biological sequence, like DNA, RNA, proteins
secondary structure of RNA molecules. Approaches include both experimental and computational methods (see also the List of RNA structure prediction software)
Biomolecular_structure
Subfield of machine learning
learning problem, the predictions of the selected set of algorithms are combined (e.g. by (weighted) voting) to provide the final prediction. Since each algorithm
Meta-learning (computer science)
Meta-learning_(computer_science)
Probabilistic model
model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random
Graphical_model
these tools output predictions of these features rather than specific locations. These software related to protein structure prediction may also appear in
List of protein subcellular localization prediction tools
List_of_protein_subcellular_localization_prediction_tools
Protein(s) forming a major part of an organism's immune system
static structure limits the understanding and characterization of the antibody's function and properties. To improve antibody structure prediction and to
Antibody
Basepairing interactions within a single nucleic acid polymer or between two polymers
secondary structure of RNA molecules, with approaches including both experimental and computational methods (see also the List of RNA structure prediction software)
Nucleic acid secondary structure
Nucleic_acid_secondary_structure
Adaptive boosting based classification algorithm
learner produces an output hypothesis h {\displaystyle h} which fixes a prediction h ( x i ) {\displaystyle h(x_{i})} for each sample in the training set
AdaBoost
Loss function in machine learning
_{t}\mathbf {x} )} . In structured prediction, the hinge loss can be further extended to structured output spaces. Structured SVMs with margin rescaling
Hinge_loss
Thought experiment of protein folding
paradox is a thought experiment in the field of computational protein structure prediction; protein folding is the process by which peptides reach a stable
Levinthal's_paradox
Identification and study of genomic sequences
were most effective, a structure prediction competition was founded called CASP (Critical Assessment of Structure Prediction). Sequence analysis tasks
Sequence_analysis
STRUCTURED PREDICTION
STRUCTURED PREDICTION
Boy/Male
Indian
Solid structure
Boy/Male
Muslim
Solid structure
Girl/Female
Indian, Kashmiri
Body Structure
Girl/Female
Indian
Shape, Structure
Girl/Female
Greek American
Unheeded prophetess. In Homer's 'The Iliad' Cassandra's prediction of the fall of Troy was unheeded.
Girl/Female
Indian
Shape, Structure
Boy/Male
Afghan, Arabic, Gujarati, Indian, Muslim
Solid Structure; Lifetime
Girl/Female
English
Abbreviation of Cassandra. Unheeded prophetess. In Homer's 'The Iliad' Cassandra's prediction of...
Girl/Female
Hindu, Indian, Telugu
The Structure of God
Surname or Lastname
English
English : occupational name for a wattler, Middle English watelere, i.e. someone who made the panels of interwoven twigs that were used to fill the spaces between the structural timbers of a timber frame building. See also Dauber.
Girl/Female
Spanish American
Unheeded prophetess. In Homer's 'The Iliad' Cassandra's prediction of the fall of Troy was unheeded.
Girl/Female
English American
Abbreviation of Cassandra. Unheeded prophetess. In Homer's 'The Iliad' Cassandra's prediction of...
Girl/Female
Indian
Structure
Boy/Male
Indian
Good Structure
Male
English
(×וּרִי×ֵל) Anglicized form of Hebrew Uwriyel, URIEL means "flame of God" or "light of the Lord." In the bible, this is the name of a Levite, and the maternal grandfather of Abijah. It is also the name of one of the seven archangels whose names were removed from the Church's list of recognized angels in 145 A.D. He was said to have been one of the angels stationed at God's throne. He was considered the wisest of the archangels because his light was not merely of the physical kind, but rather the ultra-spiritual kind, making him highly intellectually illuminated. Some think Uriel was the angel who warned Noah of the coming flood, and helped the prophet Ezra interpret a prediction concerning the coming Messiah. He is also said to be the angel of divine magic, alchemy, writing, earthquakes, floods, and other kinds of cataclysms.Â
Girl/Female
Tamil
Shape, Structure
Girl/Female
Tamil
Shape, Structure
Girl/Female
English
Abbreviation of Cassandra. Unheeded prophetess. In Homer's 'The Iliad' Cassandra's prediction of...
Girl/Female
German, Nigerian
Prediction of the Winds; Ever Powerful Ruler
STRUCTURED PREDICTION
STRUCTURED PREDICTION
Girl/Female
Tamil
Chief among the Goddess, Durga
Boy/Male
Indian
Glad
Girl/Female
Christian, French, German, Greek
A Little Joy; Pure; Little and Womanly; Female Version of Charles or Carl; Delight
Boy/Male
Indian, Sanskrit
Lord of Blossom
Girl/Female
Indian, Punjabi, Sikh
Gold or Silver Ring; Seal or Stamp; Insignia Representing a Lotus
Girl/Female
Arabic, Indian, Muslim
Good Grapes; Blessed Sparrow of Heaven
Girl/Female
Gujarati, Hindu, Indian
Pleasant; Kind; Generous; Attractive
Surname or Lastname
English
English : patronymic from Gibbon 1.German : patronymic from a short form of a Germanic personal name formed with geba ‘gift’.
Boy/Male
Hindu, Indian, Marathi
Shiv; God of Om
Girl/Female
American, British, English, Irish, Japanese
Ciar's People; Fair; Blessed Poetry; Black
STRUCTURED PREDICTION
STRUCTURED PREDICTION
STRUCTURED PREDICTION
STRUCTURED PREDICTION
STRUCTURED PREDICTION
n.
A touch of adverse criticism; censure.
n.
Organic structure; organization.
n.
A localized morbid contraction of any passage of the body. Cf. Organic stricture, and Spasmodic stricture, under Organic, and Spasmodic.
n.
Manner of building; form; make; construction.
n.
That which is built; a building; esp., a building of some size or magnificence; an edifice.
n.
Arrangement of parts, of organs, or of constituent particles, in a substance or body; as, the structure of a rock or a mineral; the structure of a sentence.
a.
Of or pertaining to structure; affecting structure; as, a structural error.
n.
Composition, or structure.
a.
Of lofty structure; tall.
n.
Strictness.
a.
Having a definite organic structure; showing differentiation of parts.
n.
The act of building; the practice of erecting buildings; construction.
a.
Of or pertaining to organit structure; as, a structural element or cell; the structural peculiarities of an animal or a plant.
n.
Framework; structure; edifice; building.
a.
Resembling shale in structure.
n.
Union of parts; structure.
n.
A stroke; a glance; a touch.
a.
Bearing teeth or toothlike structures.
a.
Affected with a stricture; as, a strictured duct.
n.
Manner of organization; the arrangement of the different tissues or parts of animal and vegetable organisms; as, organic structure, or the structure of animals and plants; cellular structure.