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...
Controlled vocabulary - A controlled vocabulary is a managed set of terms used consistently to describe, index or organize information.
Controller - A controller is the person or external agent authorized to influence a system through its available control mechanisms.
Controlling for a variable - Controlling for a variable means accounting for it when making a statistical comparison or estimating a relationship.
Convenience sample - A convenience sample is a sample selected because its members are easy to reach or readily available, rather than through a probability sampling design with...
Convenience sampling - Convenience sampling selects data or participants mainly because they are easy to obtain.
Convergence - Convergence is the point in training when a model stops improving meaningfully, when further rounds of adjustment change so little that continuing adds...
Conversation analysis - Conversation analysis is the systematic study of how people organize social interaction through successive contributions.
Conversational coding - Conversational coding is an iterative way of creating or changing software through dialogue with an AI system.
Conversational speech - Conversational speech is speech produced as people interact, typically with contributions shaped by what others say and do.
Conversational user interface - Definition: A conversational user interface lets people interact with software through exchanges resembling conversation, using written language, speech or...
Convex clustering - Convex clustering is a clustering method that poses the grouping task as a single smooth optimization problem with one best answer, avoiding the...
Convex function - A convex function is a function on a convex domain whose value at any weighted average of two inputs is no greater than the corresponding weighted average...
Convex hull - The convex hull of a set of points is the smallest convex set containing them.
Convex optimization - Convex optimization is the minimization of a convex objective over a convex feasible set. Its defining advantage is that every local optimum is also global.
Convex optimization problem - A convex optimization problem is a mathematical specification that asks for the minimum of a convex objective over a convex set of allowed decisions.
Convex set - A convex set contains the entire straight line segment joining any two of its points.
Convolution - Convolution combines two functions or sequences by summing or integrating products at relative shifts.