Theme - In linguistic semantics, a theme is a participant role commonly assigned to an entity whose location or movement is described, or, in broader role...
Theorem proving - Theorem proving is the process of establishing that a statement follows logically from specified assumptions, definitions, and inference rules.
Thesaurus (information retrieval) - A Thesaurus (information retrieval) is a structured vocabulary used to describe and retrieve information consistently.
Theta* - Theta* is a path-planning algorithm that searches a grid while allowing the resulting route to contain straight segments at arbitrary angles.
Theta-join - A theta-join is a relational join that combines tuples from two relations when they satisfy a specified comparison condition, conventionally called theta.
Third normal form (3NF) - Third normal form, or 3NF, is a relational database design condition defined through functional dependencies.
Thompson sampling - Thompson sampling is a method for making repeated decisions when the rewards of available actions are uncertain.
Thought vector - A thought vector is an informal name for a learned numerical representation of the content of a sentence or other input.
Thrashing - Thrashing is a pattern in which a system repeatedly discards and restores information, spending substantial effort on recovery instead of useful progress.
Thread pool - A thread pool is a managed collection of worker threads that execute submitted tasks, usually reusing threads across multiple tasks.
Three-factor learning - Three-factor learning is a family of synaptic learning rules in which changes depend on presynaptic activity, postsynaptic activity and an additional...
Three-layer architecture - In robotics, a three-layer architecture organizes control into reactive control, sequencing and deliberation.
Three-schema approach - The three-schema approach separates a database's description into external, conceptual and internal levels.
Three-tiered architecture - Three-tiered architecture is an application architecture that separates presentation, application logic, and data management into distinct tiers.
Threshold Autoregressive - A threshold autoregressive, or TAR, model is a time-series model whose autoregressive rule changes according to a threshold variable.
Threshold function - A threshold function converts a numerical input into one of two outputs by comparing it with a cutoff.
Thurstone model - A Thurstone model represents comparative judgments using latent values disturbed by normally distributed variation.
Tied covariance in Gaussian discriminant analysis - Tied covariance in Gaussian discriminant analysis means that all modeled classes share one covariance matrix, while retaining their own mean vectors and...
Tiered indexes - Tiered indexes organize retrieval information into levels so a search can examine a promising subset first and fall back to broader levels when needed.
Tiling - In the neural-network context used here, tiling is a constructive learning method that grows a feedforward network by adding units and layers.
Time and tense - Time and tense concerns how language describes when events or states hold, and how an AI system represents that temporal meaning.
Time-aware long short-term memory - Time-aware long short-term memory is an LSTM-based approach that explicitly uses elapsed time between observations when updating its memory.
Time-compressed speech - Time-compressed speech is recorded speech processed to play in less time.
Time-domain harmonic scaling - Time-domain harmonic scaling, or TDHS, is a family of signal-processing methods that uses pitch information and weighted waveform segments to approximate...
Time-inhomogeneous hidden Bernoulli model - A time-inhomogeneous hidden Bernoulli model, or TI-HBM, is a probabilistic acoustic model proposed for speech recognition.
Time line - A time line, usually written timeline, is an ordered representation of events, states or activities in time.
Time origin - The time origin is the reference point from which elapsed time is measured in a study or analysis.
Time series - A time series is a sequence of observations associated with times or time intervals.
Time series analysis - Time series analysis is the study of observations indexed by time, with methods that account for their ordering, timing and dependence.
Time series breaks - Time series breaks are discontinuities in comparability caused by changes in how a variable is defined, classified, covered, measured, or compiled over time.
Time Series Forecasting - Time series forecasting estimates future values of a quantity from information available at a specified time.
Time series model - A time series model is a mathematical representation of how observations indexed by time relate to past observations, disturbances, latent states or other...
Time-series segmentation - Time-series segmentation divides an ordered sequence into contiguous intervals that are relatively coherent under a chosen criterion.
Time to answer - Time to answer is the elapsed time a user needs to obtain a satisfactory answer to an information need.
Time travel (for features) - Time travel for features is the ability to retrieve historical versions of model-input values.
Time-varying covariate - A time-varying covariate is a predictor whose value can change during the period being analyzed.
Time Warp Edit Distance - Time Warp Edit Distance, abbreviated TWED or TWE, is an elastic distance for comparing time series through a minimum-cost sequence of matching and editing...
Timestep - A timestep is one position in a sequential calculation.
Tit-for-tat - Tit-for-tat is a strategy for a repeated two-player interaction: cooperate on the first round, then copy the other player's action from the preceding round.
Toeplitz matrix - A Toeplitz matrix is a matrix whose entries stay constant along each diagonal running from the upper left toward the lower right.
Token - A token is a unit of information that an AI model processes.
Token-mixing - Token-mixing is the exchange or combination of information across token positions inside a neural network.
Tokenization - Tokenization is the process of turning text into smaller units called tokens so a language-processing system can work with it.
Tokenizer - A tokenizer is the component that converts text into the token units and numerical identifiers expected by a language-processing system.
Tolerance - Tolerance is a regression diagnostic that measures how much of one predictor's variation remains unexplained by the other predictors in the model.
Tone curve - A tone curve is a mapping from input image values to output values, used to adjust brightness and contrast across different tonal ranges.
Tone mapping - Tone mapping transforms image brightness values to suit a display or output medium, especially when the captured or rendered scene has a wider dynamic range...