Regularization path - A regularization path is the sequence of fitted model solutions obtained as the strength of a regularization penalty varies.
Regularization rate - The regularization rate is the dial that sets how strongly complexity is penalized during training: higher values force simpler models, lower values let the...
Regularized discriminant analysis - Regularized discriminant analysis is a classification approach that stabilizes estimated class covariance matrices through shrinkage.
Regularized empirical risk minimization - Regularized empirical risk minimization, or RERM, is a model-training principle that balances average loss on training data with a penalty expressing a...
Reification (computer science) - Reification in computer science means making an otherwise implicit, abstract or operational concept into an explicit object or data representation that a...
REINFORCE - REINFORCE is a family of stochastic gradient methods that adjusts a policy using sampled rewards or returns multiplied by the gradient of the log...
Reinforcement - Reinforcement is evaluative feedback that influences how an agent learns from its behavior.
Reinforcement learning - Reinforcement learning is a machine learning approach in which an agent learns how to act from experience evaluated through rewards.
Reinforcement Learning from Human Feedback - Reinforcement Learning from Human Feedback, commonly abbreviated RLHF, is a family of methods that uses human evaluations to guide reinforcement learning.
Reinhard operator - The Reinhard operator is a tone-mapping approach associated with photographic tone reproduction that compresses high-dynamic-range luminance for a...
Rejection region - A rejection region is the set of possible test-statistic values or sample outcomes that lead a specified hypothesis test to reject its null hypothesis.
Rejection sampling - Rejection sampling is a method for obtaining samples from a target probability distribution by generating candidates from a convenient proposal distribution...
Relatedness - Relatedness is the degree to which words, concepts, or other items are meaningfully connected.
Relation - A relation is a set of tuples that describes which combinations of values belong together.
Relation extraction - Relation extraction is the task of identifying semantic relationships between entities mentioned in text and representing those relationships in a...
Relation Instance - A relation instance is the set of tuples belonging to a relation at a particular state or point in the database's evolution.
Relation network - A relation network is a neural-network module designed to learn from relationships between pairs of represented objects.
Relation Profile - A relation profile, in database query optimization, is a statistical description of a relation and its attributes.
Relation Schema - A relation schema specifies the structure of a relation: its name, attributes, and associated domains or types, together with relevant constraints in the...
Relational data analysis - Relational data analysis is the examination and restructuring of data according to relational design principles, commonly called database normalization.
Relational data mining - Relational data mining discovers patterns involving linked entities and relationships, often across multiple tables in a relational database.
Relational Data Model - The relational data model represents information through relations: sets of tuples described by named attributes and their domains.
Relational database - A relational database is a database that presents data through tables based on relational concepts, with rows representing records and columns representing...
Relational dependency network - A relational dependency network, or RDN, is a probabilistic graphical model that represents dependencies among attributes of linked objects using a...
Relational extraction - Relational extraction is the task of identifying relationships expressed in language and turning them into structured information.
Relational model - The relational model is a way of representing data as relations, commonly understood as tables with named attributes and records.
Relational Model/Tasmania - Relational Model/Tasmania, abbreviated RM/T, is Edgar F. Codd's 1979 proposal for extending the relational model to represent more meaning about data.
Relational reinforcement learning - Relational reinforcement learning combines reinforcement learning with representations of objects and the relationships between them.
Relational Synthesis Algorithm - A relational synthesis algorithm constructs a collection of relation schemas from a specified set of attributes and functional dependencies.
Relational uncertainty - Relational uncertainty is uncertainty about how entities are connected, rather than only about their individual properties.
Relationship square - A relationship square is a plot that shows how strongly variables are associated with two selected dimensions from a factor analysis.
Relative frequency - Relative frequency is the number of times an outcome occurs divided by the total number of relevant observations.
Relative frequency view - The relative frequency view interprets probability through the proportion of times an event occurs in repeated trials under specified, stable conditions.
Relative pose - Relative pose describes the rotation and translation relating two coordinate frames, such as two camera views.
Relative risk or risk ratio - Relative risk, or risk ratio, compares the probability of a specified event in one group or condition with its probability in another.
Relative standard error - Relative standard error, usually abbreviated RSE, expresses an estimate's standard error relative to the magnitude of that estimate, commonly as a percentage.
Relaxation labeling - Relaxation labeling is an iterative method for reducing ambiguity in a set of label assignments by using relationships among the items being labeled.
Relaxed problem - A relaxed problem is a version of an original problem in which selected constraints are removed or weakened.
Relaxed sequential - Relaxed sequential describes a parallel-programming approach in which parallel execution is an opportunity for acceleration rather than a requirement for...
Relevance - Relevance is the property of bearing on a particular question, task, or choice of action.
Reliability - Reliability is the ability of a system to perform its required function without failure over a specified period and under stated conditions.
Relief (feature selection) - Relief is a feature-weighting and selection algorithm that estimates a feature's usefulness by comparing nearby labeled examples.
Relocatable user backup - Relocatable user backup (RUB) is a label documented in Webrecs' description of its document and customer-management services.
Relvar - A relvar, short for relation variable, is a variable whose value is a relation.
Remediation - Remediation is corrective action taken to address an identified weakness, failure or harmful outcome.