Context window - A context window is the limited amount of information a language model can work with in a particular generation.
Contextual embeddings - Contextual embeddings are numerical representations whose values depend on the surrounding input.
Contextual searching - Contextual searching uses information about the situation surrounding a query to help interpret the user's need and retrieve or rank results.
Contingency coefficient - The contingency coefficient, usually meaning Pearson's contingency coefficient C, is a nonnegative measure of association between categorical variables...
Contingency Matrix - A contingency matrix is a table of counts showing how two labelings overlap on the same collection of items.
Contingency table - A contingency table organizes observations by combinations of categorical variables.
Continual Learning - Continual learning is the study and practice of enabling a model to learn from successive experiences while retaining useful abilities acquired earlier.
Continuation rise - A continuation rise is an intonation pattern in which pitch rises near a phrase boundary in a way associated with more material to come.
Continuer - A continuer is a short listener response that acknowledges an ongoing contribution and allows or encourages the speaker to carry on.
Continuity correction - A continuity correction adjusts a boundary when a continuous distribution approximates a discrete one.
Continuity in probability - Continuity in probability is a property of a stochastic process: as an index approaches a fixed index, the corresponding random variables approach each...
Continuous analytics - Continuous analytics is an approach in which analytical results are updated on an ongoing basis as new data become available.
Continuous domains - Continuous domains are sets of possible variable values modeled as a continuum, such as all real numbers in an interval.
Continuous feature - A continuous feature is an input variable that can take any numeric value within a range, such as height, temperature, income or delivery time, rather than...
Continuous multi-output - Continuous multi-output describes a regression task in which each input example has more than one numerical target value.
Continuous optimization - Continuous optimization is the study of choosing real-valued decision variables to minimize or maximize an objective, subject to any constraints.
Continuous probability distribution - A continuous probability distribution describes uncertainty in a quantity whose probability is spread across a continuum, rather than concentrated on...
Continuous random variable - A continuous random variable represents an uncertain numerical quantity through a distribution that assigns zero probability to each individual value.
Continuous-time normalizing flow - A continuous-time normalizing flow is a generative density model that transforms a simple probability distribution through an ordinary differential equation.
Continuous Uniform Distribution - A continuous uniform distribution is a probability model with constant density across a finite interval and zero density outside it.
Continuous variable - A continuous variable is a numerical variable modeled as capable of taking any value within an interval, rather than only separate countable values.
Contraction - A contraction is a mapping that reduces the distance between any two inputs by at least a fixed proportional factor smaller than one.
Contraction hierarchies - Contraction hierarchies are a shortest-path acceleration technique that preprocesses a weighted graph into an ordered hierarchy with shortcut edges.
Contractive autoencoder - A contractive autoencoder is an autoencoder trained to reconstruct its inputs while discouraging its encoded representation from changing sharply under...
Contractive operator - A contractive operator is a mapping that reduces distances by a uniform factor smaller than one.
Contradiction - In classical logic, a contradiction is a statement that is false under every interpretation, such as P AND NOT P.
Contrast - In statistics, a contrast is a linear comparison of means whose coefficients sum to zero.
Contrast-detection autofocus - Contrast-detection autofocus adjusts a camera's focus using image-derived contrast or sharpness measurements.
Contrast (point operation) - Contrast as a point operation changes the separation between pixel values by applying a tone mapping independently at each image location.
Contrast sensitivity function (CSF) - A contrast sensitivity function describes how sensitivity to visual contrast varies with properties such as spatial frequency under specified viewing...
Contrast set learning - Contrast set learning searches for combinations of attribute values whose prevalence differs meaningfully across predefined groups.
Contrast stretching - Contrast stretching remaps an image's intensity values so a selected input interval occupies a desired output interval.
Contrastive divergence - Contrastive divergence, often abbreviated CD, is an approximate learning method for certain probabilistic models, especially energy-based models such as...
Contrastive Hebbian learning - Contrastive Hebbian learning is a neural learning approach that adjusts connections using differences between activity relationships in two network states.
Contrastive Learning - Contrastive learning trains a representation by comparing examples and encouraging relationships that match a defined notion of similarity.
Contrastive search - Contrastive search is a text-decoding method that selects a next token by balancing its model probability against its hidden-state similarity to previous...
Control as inference - Control as inference is a framework that expresses action selection as probabilistic inference in a model linking states, actions, dynamics, and preferences.
Control break - A control break is a change in a grouping key while a program processes records in the required order.
Control chart - A control chart is a statistical monitoring display that plots a process measure over time or successive samples against a reference center and control limits.
Control factor - A control factor is an input or design choice whose level can be deliberately set in an experiment or operating process.
Control-flow diagram - A control-flow diagram shows the possible order in which steps, decisions or program statements can execute.
Control function (econometrics) - In econometrics, a control function is a modeled term added to an outcome equation to account for dependence between an explanatory variable and unobserved...
Control group - A control group is the comparison group used to assess the outcome of an intervention or experimental condition.
Control limits - Control limits are statistical reference boundaries used in a control chart to identify observations or patterns that warrant investigation under an assumed...
Control theory - Control theory studies how to influence a changing system so that its behavior meets specified objectives.
Control variates - Control variates are a variance-reduction technique that uses a correlated quantity with a known expected value to improve a Monte Carlo estimate.
Controllability - Controllability is an AI system's capacity to accept effective intervention from an authorized human or external agent.
Controlled natural language - Definition: A controlled natural language is a deliberately designed form of a natural language with specified restrictions on vocabulary, grammar or...