Kimball lifecycle - The Kimball lifecycle is a methodology for designing, developing, deploying and maintaining data warehouse and business intelligence solutions.
Kinematic state - A kinematic state, in the robotics convention used here, describes a robot's configuration: its position, orientation and any relevant joint positions.
Kinematics - Kinematics is the study of the geometry of motion, including positions, orientations, velocities and accelerations, without using the forces and torques...
Kitagawa - Oaxaca - Blinder decomposition - Kitagawa - Oaxaca - Blinder decomposition is a family of methods for expressing a difference between groups as components associated with their composition...
KL annealing - KL annealing is a training strategy that changes the weight of a Kullback - Leibler divergence term over time.
Klecka's tau - Klecka's tau is a descriptive measure of how much a classification rule reduces errors relative to a specified random-assignment baseline.
Kleene + - Kleene +, also called positive closure, is the operation that allows one or more repetitions of an expression or members of a language.
Kleene star - The Kleene star is an operation on a language or pattern that allows zero or more finite repetitions.
KLT (Kanade - Lucas - Tomasi) tracker - The Kanade - Lucas - Tomasi, or KLT, tracker follows selected image features across successive frames by estimating local patch motion.
Knockoffs (statistics) - Knockoffs are synthetic comparison variables used in statistical procedures for selecting relevant predictors while controlling the false discovery rate...
Knowledge acquisition - Knowledge acquisition is the process of obtaining, clarifying and validating the knowledge needed by an AI system.
Knowledge as a service - Knowledge as a service, often abbreviated KaaS, is an approach to making organized knowledge available on demand through a service.
Knowledge base - A knowledge base is an organized body of information that a system can use to answer questions or support reasoning.
Knowledge-based agents - A knowledge-based agent is an agent that keeps an explicit store of facts and rules about its world, called a knowledge base, and reasons over that store to...
Knowledge-based configuration - Knowledge-based configuration is the use of explicit domain knowledge to assemble a product, service or system from available components while satisfying...
Knowledge-based recommender system - A knowledge-based recommender system suggests items by reasoning about explicit user requirements and knowledge of how items meet those requirements.
Knowledge-based systems - Knowledge-based systems are computer systems that use explicitly represented knowledge to support reasoning, problem solving or decisions.
Knowledge citations - Knowledge citations are references attached to factual claims in a generated answer so readers can inspect the supporting sources.
Knowledge compilation - Knowledge compilation is the transformation of a knowledge representation into another form that supports selected reasoning queries more efficiently.
Knowledge engineering - Knowledge engineering is the work of designing, building, testing and maintaining systems that use explicitly represented domain knowledge.
Knowledge extraction - Knowledge extraction is the process of turning information in source material into an explicit, structured representation that can be stored, connected...
Knowledge gradient acquisition - A knowledge gradient acquisition function scores a possible measurement by the expected improvement it would produce in the value of the best final decision.
Knowledge integration - Knowledge integration is the process of combining knowledge from different sources into a form that can be used together coherently.
Knowledge level - The knowledge level is a way of describing an intelligent agent through what it knows, the goals it pursues and the actions available to it, while...
Knowledge representation - Knowledge representation is the way information about a domain is expressed so that a system can use it in reasoning and other intelligent tasks.
Knowledge representation language - A knowledge representation language is a formal means of expressing information about a domain so that a computer system can store it, interpret it, and...
Knowledge space - A knowledge space is a mathematical model of feasible knowledge states within a defined domain of items or problem types.
Knuth's Algorithm X - Knuth's Algorithm X is a backtracking algorithm for solving exact cover problems.
Kohonen Network - A Kohonen network commonly refers to a self-organizing map, or SOM: an unsupervised neural model that learns representative vectors arranged on a predefined...
Kolmogorov - Arnold Networks - Kolmogorov - Arnold networks, usually called KANs, are neural-network architectures that learn univariate functions on connections between nodes.
Kolmogorov complexity - Kolmogorov complexity measures the length of the shortest program that produces a particular finite object, usually a string, and halts, relative to a fixed...
Kolmogorov's axioms - Kolmogorov's axioms are three basic rules that define a probability measure: event probabilities are nonnegative, the probability of the whole sample space...
Kolmogorov-Smirnov test - The Kolmogorov - Smirnov test is a distribution-comparison test based on the largest vertical difference between cumulative distribution functions.
Krichevsky - Trofimov estimator - The Krichevsky - Trofimov estimator assigns probabilities to symbols in a fixed finite alphabet by adding one-half to each observed count.
Kriging - Kriging is a family of prediction methods that use a modeled covariance or variogram to combine observed values when estimating an unobserved value, often...
Kronecker product - The Kronecker product combines two matrices into a larger block matrix by replacing every entry of the first matrix with that entry multiplied by the entire...
KruskalWallis one-way analysis of variance - The Kruskal - Wallis one-way analysis of variance is a rank-based test for comparing independent groups on an ordered or numerical outcome.
Kuiper's test - Kuiper's test is a goodness-of-fit or two-sample distribution-comparison test based on the sum of the largest upward and downward differences between...
Kullback-Leibler divergence - Kullback-Leibler divergence measures how one probability distribution differs from another in a particular direction.
Kurtosis - Kurtosis is a standardized fourth-moment measure of a distribution.
KV cache - A KV cache, or key - value cache, stores previously computed attention keys and values during autoregressive transformer inference.