Compressive sensing - Compressive sensing, also called compressed sensing, is a framework for recovering signals from fewer measurements than their full ambient dimension by...
Computable - A function is computable if an algorithm can produce its specified output from each valid input in a finite number of steps.
Computational complexity - Computational complexity studies how the resources required for a computation grow with input size.
Computational graphs - Computational graphs represent calculations as connected operations and intermediate values.
Computational imaging - Computational imaging combines physical measurement and computation to form images or recover scene information.
Computational intelligence - Computational intelligence is a broad field of methods for building adaptive computational systems, especially neural networks, fuzzy systems and...
Computational learning theory - Computational learning theory studies what can be learned from data, under which assumptions, and with what requirements for examples and computation.
Computational linguistics - Computational linguistics is the study of human language using computational models and methods.
Computational photography - Computational photography uses algorithms together with captured light measurements to form, improve, or extend photographic images.
Computational semantics - Definition: Computational semantics studies how computers can represent and process linguistic meaning.
Computational statistics - Computational statistics develops and applies algorithms for statistical analysis, especially when estimates, uncertainty measures, or model calculations...
Compute - Compute is the processing capability or computational work used to run software.
Computer Assisted Survey Information Collection - Computer Assisted Survey Information Collection, usually abbreviated CASIC, is an umbrella term for using computers to support survey data collection and...
Computer audition - Computer audition, also called machine listening, is the use of computational methods to interpret sound.
Computer cluster - A computer cluster is a group of connected computers coordinated to provide computing services or perform work together. Each computer is usually called a node.
Computer experiment - A computer experiment is a planned study that runs a computational model at selected input settings and analyses its outputs.
Computer vision - Computer vision is the field of developing methods that extract useful information from images, video and other visual measurements.
Computer vision dazzle - Computer vision dazzle is a visual camouflage approach that explores whether changes in appearance can disrupt particular computer vision systems while...
Computerized adaptive testing - Computerized adaptive testing (CAT) is assessment in which a computer selects later questions using information from a person's earlier responses.
Concentration inequality - A concentration inequality bounds the probability that a random quantity differs substantially from a reference value, commonly its expectation.
Concept activation vector - A concept activation vector, or CAV, is a direction in a neural network's internal activation space associated with a concept defined through example inputs.
Concept drift - Concept drift is the gradual or sudden change in the relationship between a model's inputs and its target, so that patterns the model learned stop matching...
Concept map - A concept map is a diagram that represents concepts and the meaningful relationships between them.
Concept mining - Definition: Concept mining is the computational identification of meaningful concepts in material such as documents, queries or other data.
Conceptual clustering - Conceptual clustering groups examples while also developing descriptions of the resulting groups.
Conceptual data model - A conceptual data model is a high-level description of the important kinds of information in a business domain and the relationships between them.
Conceptual dependency - Conceptual dependency is a historical approach to representing the meaning of language through networks of concepts, primitive acts and their participants.
Conceptual graph - A conceptual graph is a graph-based form of knowledge representation with defined logical meaning. In the tradition developed by John F.
Conceptualization (information science) - In information science, a conceptualization is an abstract view of a domain: the kinds of things considered relevant and the relationships understood to...
Concordant pairs - Concordant pairs are pairs of observations whose ordering agrees on two variables.
Concrete word - A concrete word is a word whose meaning is closely connected to something perceptible through the senses or to a directly experienced action.
Concurrency control - Concurrency control is the set of techniques used to coordinate operations that overlap in time so they do not violate the required rules for shared data.
Concurrent action list - A concurrent action list specifies actions that must or must not occur alongside a particular action for its modeled effects to apply.
Concurrent logic programming - Concurrent logic programming is a family of programming approaches that express interacting computations using logic-programming constructs.
Condensation algorithm - The Condensation algorithm is a probabilistic visual-tracking method that represents uncertainty with a collection of weighted samples.
Condition-action rule - A condition-action rule connects a recognized situation to an action: if a specified condition holds, select or perform the associated response.
Condition number - A condition number measures how sensitive a mathematical problem's solution can be to changes in its input.
Conditional average treatment effect - The conditional average treatment effect, or CATE, is the average causal effect of a treatment among units with specified characteristics.
Conditional diffusion model - A conditional diffusion model is a generative model that uses a diffusion-style noise-removal process to produce outputs in response to supplied information.
Conditional distribution - A conditional distribution describes how a variable is distributed when specified information about another variable or event is given.
Conditional effect - A conditional effect is an outcome of an action that occurs only when an additional condition holds.
Conditional entropy - Conditional entropy measures the average uncertainty remaining about one random variable after another is known.
Conditional expectation - Conditional expectation is the average value of a random quantity given specified information.
Conditional Gaussian - A conditional Gaussian model describes continuous variables with a Gaussian distribution once specified conditioning information is fixed.
Conditional generation - Conditional generation is the production of an output using specified input or context as a condition.
Conditional means - Conditional means are the expected values of a variable for specified values or conditions of another variable or set of variables.
Conditional odds - Conditional odds express the probability of an event relative to the probability of its complement, given specified information.