AI terms starting with L

349 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

  • Linear inverse problem - A linear inverse problem estimates an unknown quantity from measurements related to it by a linear forward model.
  • Linear least squares - Linear least squares chooses coefficients for a model that is linear in those coefficients by minimizing a sum of squared residuals.
  • Linear light - Linear light describes an image representation in which numerical values are proportional to the represented light quantity within a defined color and...
  • Linear map - A linear map is a function between vector spaces that preserves addition and scalar multiplication.
  • Linear model - A linear model combines specified features through a weighted sum, usually with an intercept.
  • Linear network coding - Linear network coding allows an intermediate network node to transmit linear combinations of received data instead of only forwarding or copying individual...
  • Linear partial information - Linear partial information is a way to represent incomplete knowledge through linear restrictions, especially restrictions on probabilities or normalized...
  • Linear planning - Linear planning, in the historical classical-planning sense used here, solves subgoals through separate subplans and joins those subplans without...
  • Linear prediction - Linear prediction estimates an unknown quantity using a weighted sum of available observations or features, often with an intercept.
  • Linear predictive coding - Linear predictive coding, or LPC, is a method used in speech analysis and coding that models a sample as a weighted combination of preceding samples.
  • Linear predictor function - A linear predictor function forms a score by adding weighted input features, usually with an intercept.
  • Linear probing - Linear probing is a collision-resolution method for a hash table stored in an array.
  • Linear programming - Linear programming is optimization of a linear objective subject to linear equality and inequality constraints.
  • Linear-quadratic regulator rapidly exploring random tree - Linear-quadratic regulator rapidly exploring random tree refers to motion-planning approaches that combine sampling-based tree search with linear-quadratic...
  • Linear regression - Linear regression models a numerical outcome using a sum of explanatory features multiplied by coefficients, usually with an intercept.
  • Linear relationship - A linear relationship is one whose systematic pattern can be represented by a straight line on the stated measurement scales.
  • Linear resolution - Linear resolution is a strategy for organizing resolution proofs around a continuing chain of derived clauses.
  • Linear search - Linear search finds an item by checking entries one at a time until a match is found or the searchable collection is exhausted.
  • Linear search problem - The linear search problem studies how to find a target at an unknown location on a line when a searcher starts at a known point and does not know which...
  • Linear separability - Linear separability is the property that two classes of points can be separated perfectly by a linear decision boundary in the chosen feature space.
  • Linear separator - A linear separator is a decision boundary defined by a weighted sum of features plus an offset.
  • Linear shift-invariant (LSI) filter - A linear shift-invariant filter, or LSI filter, preserves superposition and responds the same way when an input pattern is shifted in space.
  • Linear temporal logic - Linear temporal logic, or LTL, is a formal language for describing how conditions should hold along a sequence of system states.
  • Linear transformation - In the supplied statistics glossary, a linear transformation changes a numerical variable by multiplying it by a constant and adding a constant: Y = a + bX.
  • Linear trend estimation - Linear trend estimation fits a straight-line change over time to observed data, commonly using a model such as Yt = a + bt + error.
  • Linearity of regression - Linearity of regression is the assumption that the systematic mean relationship is adequately represented by the specified linear form.
  • Linearly separable - Two labeled groups are linearly separable when a single linear decision boundary can place every member of one group on one side and every member of the...
  • Linguistic Linked Open Data - Linguistic Linked Open Data, or LLOD, is an approach and community movement for publishing and connecting language resources using linked-data principles...
  • Linguistic value - A linguistic value is a word or phrase used as a value of a linguistic variable, such as low, moderate or high for workload.
  • Link rot - Link rot is the loss of access to a resource through a previously useful web link, often because the resource has been removed, moved without a suitable...
  • Linkage constraints - Linkage constraints are restrictions imposed by the physical connections among the links and joints of a mechanism.
  • Linkage disequilibrium score regression - Linkage disequilibrium score regression, usually abbreviated LD Score regression or LDSC, is a method that relates genome-wide association statistics to...
  • Linked data - Linked data is an approach to publishing and connecting structured data using Web identifiers and explicit relationships.
  • Linking Bias - Linking bias describes systematic differences in the networks inferred from people's recorded connections, interactions or activity.
  • Lipschitz continuity - Lipschitz continuity is a bound on how quickly a function's output can change relative to its input.
  • Liquid event - A liquid event is an event type or temporal property that, when true throughout an interval, is also true throughout its subintervals.
  • Liquid State Machine Network - A liquid state machine network is a reservoir-computing architecture that transforms a time-varying input into changing internal activity, commonly in a...
  • List - A list is an ordered collection of elements. In programming, the exact operations and implementation depend on the language.
  • List sample - A list sample is a sample selected from an explicit list of units in the population being studied. The list acts as the sampling frame.
  • Literal - A literal, in logic, is an atomic formula or the negation of an atomic formula. P is a positive literal, and NOT P is a negative literal.
  • Literature-based discovery - Literature-based discovery is the use of published research to identify potentially new connections or hypotheses by bringing together findings that have...
  • Ljung-Box test - The Ljung-Box test is a statistical test that jointly assesses whether a set of autocorrelations, from lag one through a chosen maximum lag, is consistent...
  • LLM-as-a-judge - LLM-as-a-judge is an evaluation method in which a large language model assesses an answer, conversation, or other output using specified criteria.
  • LLM evaluations (evals) - LLM evaluations, often shortened to evals, are structured tests used to measure how a large language model or a system built around it performs.
  • LLM Temperature - LLM temperature is a generation setting that rescales a language model's next-token scores before sampling.
  • Local beam search - Local beam search is a local-search method that keeps several candidate states at once.
  • Local case-control sampling - Local case-control sampling is a subsampling method for fitting logistic regression to large datasets.
  • Local Community Detection - Local community detection identifies a group of related nodes around a chosen source node in a network.

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