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...
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.
Temperature sampling - Temperature sampling is a decoding method that draws a model's next token from a probability distribution adjusted by a temperature value.
Temperature Scaling - Temperature scaling is a method for adjusting a classifier's probability estimates by dividing its logits by a learned positive number before applying softmax.
Template - In information extraction, a template is a structured specification of the information a system should capture about an entity, event, or relationship.
Template filling - Template filling is an information-extraction task that converts descriptions of recurring situations or events into structured records with predefined fields.
Template matching - Template matching searches for image regions that resemble a supplied example patch, called a template.
Template recognition - In information extraction, template recognition is the task of deciding whether a piece of text describes an instance of a situation or event type...
Temporal adverb - A temporal adverb is an adverb that contributes information about time, such as “yesterday,” “soon,” or “recently.
Temporal aliasing - Temporal aliasing occurs when changes over time are sampled in a way that makes different underlying motions or fluctuations appear indistinguishable.
Temporal anchor - A temporal anchor is a reference time used to interpret a time expression or locate an event.
Temporal annotation - Temporal annotation is the addition of structured labels describing time-related information in language.
Temporal Bias - Temporal bias is bias arising from differences in populations or behavior across time.
Temporal data - Temporal data is data associated with different points or periods in time.
Temporal-difference - Temporal-difference, usually abbreviated TD, refers to a learning approach that updates a prediction using newly observed information and a later prediction.
Temporal-difference error - A temporal-difference error, often shortened to TD error and written delta, is the difference between a bootstrapped learning target and the current value...
Temporal-difference learning with gradient correction - Temporal-difference learning with gradient correction, usually called TDC, is a linear value-prediction algorithm that adds an auxiliary correction to the...
Temporal expressions - Temporal expressions are words, numbers or phrases that refer to time.
Temporal logic - Temporal logic is a family of formal languages for expressing how statements hold across time or sequences of states.