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

  • Syntactic ambiguity - Syntactic ambiguity occurs when the same sequence of words permits more than one grammatical structure.
  • Syntactic categories - Syntactic categories are classes of words or phrases defined by their grammatical behavior and the positions they can occupy in sentence structure.
  • Syntactic parsing (computational linguistics) - Syntactic parsing is the process of assigning grammatical structure to a sentence or other language expression.
  • Syntactic pattern recognition - Syntactic pattern recognition identifies or interprets patterns through the arrangement of simpler parts and rules describing valid structures.
  • Syntactic sugar - Syntactic sugar is convenient notation that expresses behavior already available through a more basic form in a programming or formal language.
  • Syntactic theory - In knowledge representation, a syntactic theory of mental objects represents the contents of beliefs or knowledge using expressions treated as objects, such...
  • Syntax - Syntax is the organization of words into grammatical structures and the study of that organization.
  • Synthetic aperture - A synthetic aperture is an effective imaging aperture created by combining measurements taken from different positions.
  • Synthetic control method - The synthetic control method estimates an intervention's effect by comparing a treated unit with a weighted combination of untreated units chosen to...
  • Synthetic data - Synthetic data is data created artificially through rules, simulations or generative models, rather than collected as direct observations of the events or...
  • Synthetic feature - A synthetic feature is a model input constructed from other available inputs.
  • Synthetic measure - A synthetic measure is a constructed summary that combines several indicators into one value intended to represent a broader concept.
  • Synthetic minority oversampling technique - Synthetic minority oversampling technique, commonly called SMOTE, is a training-data resampling method that creates additional minority-class examples by...
  • System of record - A system of record is the designated authoritative source for a particular set of business information.
  • System prompt - A system prompt is an application-level instruction supplied to a language model to establish its role, task, behavior or response conventions.
  • Systematic resampling - Systematic resampling is a particle-filtering procedure that replaces weighted particles with equally weighted copies by placing evenly spaced selection...
  • Systemic bias - Systemic bias is a pattern of advantage or disadvantage arising from the procedures, norms, and practices of institutions or social systems.
  • t-Distributed Stochastic Neighbor embedding - t-Distributed Stochastic Neighbor Embedding, usually written t-SNE, is a nonlinear method for representing high-dimensional data in a low-dimensional map...
  • T-norm - A T-norm, short for triangular norm, is a mathematical operation that combines two numbers between 0 and 1 while satisfying rules suited to a generalized “and.
  • T-norm fuzzy logics - T-norm fuzzy logics are formal systems of many-valued reasoning in which a triangular norm interprets a strong conjunction, or graded “and.
  • T scores - T scores, in standardized assessment, are scores expressed on a scale with a reference mean of 50 and reference standard deviation of 10.
  • T-test - A t-test is a statistical test that compares a mean or difference in means with a specified null value using an estimated standard error and a Student t...
  • Table - A table is a data structure organized into rows and columns.
  • Table 2 fallacy - The Table 2 fallacy is the mistake of interpreting every coefficient from one multivariable regression as though each estimated the intended causal effect...
  • Table lookup - Table lookup is the retrieval of a stored output using an input as a key or index.
  • Tabled logic programming - Tabled logic programming is a way of evaluating logic programs that stores answers to selected subgoals and reuses them when equivalent calls recur.
  • Tabu search - Tabu search is an optimization method that guides local search using memory of earlier moves or solution features.
  • Tabular data - Tabular data organize observations into rows and shared attributes into columns.
  • Tabular Q-learning - Tabular Q-learning is Q-learning implemented with an explicit table of action-value estimates, one entry for each represented state-action pair.
  • Tag (metadata) - A Tag (metadata) is a descriptive label or attribute associated with a resource to help identify, organize, filter, or manage it.
  • Taguchi methods - Taguchi methods are approaches to experimental design and quality improvement associated with Genichi Taguchi, emphasizing performance that remains reliable...
  • Tall matrix - A tall matrix has more rows than columns. If its shape is m by d, it is tall when m > d.
  • Tanh - Tanh, short for hyperbolic tangent, is a mathematical function commonly used as a neural-network activation.
  • Target network - A target network is a more slowly updated network used to calculate learning targets in some reinforcement-learning methods.
  • Target policy smoothing - Target policy smoothing is a reinforcement-learning technique that perturbs the next action used in a critic's learning target, encouraging value learning...
  • Targeted maximum likelihood estimation - Targeted maximum likelihood estimation, or TMLE, is a statistical framework that updates an initial estimate specifically to improve estimation of a chosen...
  • Task decomposition - Task decomposition means dividing a larger goal into smaller, executable tasks.
  • Taxonomy - A taxonomy is an organized classification of categories, usually arranged from broader categories to more specific ones.
  • Taylor expansion - A Taylor expansion represents a function near a chosen point using its value and derivatives at that point.
  • TD(lambda) - TD(lambda), written TD(λ), is a family of temporal-difference learning methods that use eligibility traces to spread prediction errors across recently...
  • Teacher forcing
  • Technical control - A technical control is a safeguard implemented primarily through a system's hardware, software, or firmware.
  • Technological singularity - The technological singularity is a hypothetical transition in which technological change, often associated with intelligence exceeding human capabilities...
  • Technology mining - Technology mining, often called tech mining, combines analysis of scientific and technical text with bibliometric and related methods to investigate...
  • Teknomo - Fernandez algorithm - The Teknomo - Fernandez algorithm is a video-background estimation method that combines sampled frames using bitwise majority operations in a...
  • Teleoperation - Teleoperation is the remote operation of a robot or machine by a human, using commands sent through a communication link and feedback from the remote system.
  • Telephone survey - A telephone survey collects information from respondents through a telephone interview or an automated telephone interaction.
  • Temperature - Temperature is a setting that changes how concentrated or spread out a model's next-token probability distribution is before sampling.

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