All AI terms, A to Z

7,198 terms

# A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

  • Text graph - A text graph is a graph representation built from language material.
  • Text mining - Text mining is the computational analysis of text collections to identify useful patterns, relationships or information.
  • Text nailing - Text Nailing is a named information-extraction method associated with Uri Kartoun and colleagues.
  • Text simplification - Text simplification is the rewriting of text to make it easier for an intended audience to read and understand while preserving the required meaning.
  • Text span - A text span is a specific continuous portion of text identified by its start and end positions.
  • Text-to-image personalization - Text-to-image personalization adapts image generation to a particular subject or concept, such as a specific toy, product or visual style.
  • Text-to-speech - Text-to-speech, often abbreviated TTS, is technology that converts written text into spoken audio.
  • Text-to-video model - A text-to-video model is a generative model that produces video conditioned on a written description.
  • Textual case-based reasoning - Textual case-based reasoning uses descriptions of previous situations, problems or experiences written in natural language to help address a new situation.
  • Textual entailment - Textual entailment is the relationship in which the meaning of one text supports an inference expressed by another text.
  • Texture - Texture is the visual pattern formed by variations in an image region, such as the grain of wood, a fabric weave, or a speckled surface.
  • Texture compression - Texture compression stores graphics texture data in a compact representation designed to support efficient sampling during rendering.
  • Texture synthesis - Texture synthesis creates new image content with the visual character of a texture, such as woven fabric, stone, or scattered leaves.
  • The Bitter Lesson - The Bitter Lesson is Richard Sutton's 2019 argument that broadly applicable methods able to use increasing computation, especially search and learning, have...
  • Theil index - The Theil index is an entropy-based measure of inequality in nonnegative quantities such as income or resource allocations.
  • Thematic grid - A thematic grid is a representation of the semantic participant roles associated with a verb or a particular verb sense.
  • Thematic role - A thematic role describes the semantic relationship between a participant and the event or situation expressed by a predicate.
  • 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 (for decision trees) - A threshold in a decision tree is a value used in a comparison at a branching point.
  • 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.

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