Constellation model - A constellation model is a probabilistic, part-based model for recognizing object categories in images.
Constituency - Constituency is the organization of a sentence into groups of words that function as grammatical units.
Constituency parsing - Constituency parsing is the analysis of a sentence's grammatical structure as a tree of nested phrases, such as noun phrases and verb phrases, showing how...
Constitutional AI - Constitutional AI is an approach to shaping AI behavior through an explicit set of written principles used in training and feedback.
Constrained clustering - Constrained clustering forms groups while taking additional requirements or background knowledge into account.
Constrained Hidden Markov Model - A constrained hidden Markov model is a hidden Markov model with extra rules limiting which states or transitions are allowed, so the model can only produce...
Constrained least squares - Constrained least squares finds model parameters that minimize a sum of squared residuals while obeying specified restrictions.
Constrained minimization - Constrained minimization is the task of finding the smallest value of an objective function while satisfying specified restrictions on the decision variables.
Constrained mixture model - A constrained mixture model is a mixture model whose components are tied by extra rules, such as shared shapes or linked centers, so the mixture fits...
Constrained optimization - Constrained optimization seeks the best value of an objective while restricting decisions to an allowed set.
Constrained optimization problem - A constrained optimization problem, abbreviated COP in the supplied AIMA glossary, extends a constraint satisfaction problem with preferences.
Constraint Grammar - Constraint Grammar is a rule-based framework for analyzing text by using contextual constraints to remove or select among possible linguistic readings.
Constraint graph - A constraint graph represents the structure of a binary constraint-satisfaction problem.
Constraint hypergraph - A constraint hypergraph represents a constraint-satisfaction problem whose constraints may involve more than two variables.
Constraint learning - Constraint learning records new restrictions derived from failures encountered while solving a constraint problem.
Constraint logic programming - Constraint logic programming, or CLP, combines logic programming with specialized constraint solving.
Constraint propagation - Constraint propagation uses known restrictions to derive further restrictions on variable values.
Constraint satisfaction - Constraint satisfaction is the task of assigning values to variables so that all specified restrictions are met.
Constraint satisfaction problem - A constraint satisfaction problem, or CSP, describes a task using variables, the possible values of those variables, and rules that acceptable combinations...
Constraint weighting - Constraint weighting assigns numerical weights to constraints to guide a solver's search.
Construct validity - Construct validity concerns whether evidence supports interpreting a measurement as representing the concept it is intended to measure.
Constructing skill trees - Constructing Skill Trees, or CST, is a hierarchical reinforcement-learning method that builds reusable skills from demonstrated solution trajectories.
Constructive cooperative coevolution - Constructive cooperative coevolution, often written C3, is an optimization approach that builds feasible starting solutions and then improves their...
Consumer Bias - Consumer bias, in the platform-bias terminology used here, occurs when people express prejudices through interactions enabled by a digital platform.
Consumer group - A consumer group is a set of consumers that cooperate to read and process data from subscribed topics.
Containerization - Containerization is the practice of packaging an application and its required software environment into a container image and running it as an isolated...
Content-addressable parallel processor - A content-addressable parallel processor is a processor architecture that uses content-based matching to select and operate on many stored data items in...
Content as a service - Content as a service is an approach in which applications obtain managed content through a service interface, commonly an API.
Content-aware fill - Content-aware fill is an image-editing technique that replaces a selected region with content chosen or synthesized to fit the surrounding image.
Content-based image retrieval - Content-based image retrieval, or CBIR, finds images using information extracted from their visual content.
Content determination - Definition: Content determination is the natural language generation task of deciding what information a generated text should communicate.
Content format - A content format is the set of conventions used to represent information so that software can store, exchange or present it.
Content management - Content management is the organized work of creating, reviewing, storing, publishing, maintaining and retiring information for an audience.
Content migration - Content migration is the planned transfer of content from one system, structure or platform to another.
Content-oriented workflow models - Content-oriented workflow models describe progress in terms of the content, data objects or documents involved in a process and their states.
Content-preserving warp - A content-preserving warp is a spatially varying image transformation that balances desired movement against distortion of visible structures.
Content Production Bias - Content production bias describes systematic differences in the language, meaning or structure of material people produce in different settings or groups.
Content repository - A content repository is a managed store for content and information about that content.
Content validity - Content validity is the extent to which the elements of an assessment appropriately represent the subject or concept it is intended to measure.
Content words - Content words are words whose main contribution is lexical meaning: the people, things, actions, properties and circumstances a message describes.
Context-adaptive binary arithmetic coding - Context-adaptive binary arithmetic coding, or CABAC, is an entropy-coding method that represents binary decisions using probability models adapted to their...
Context-based access control - Context-based access control, or CBAC, is used here in its Cisco IOS firewall sense: traffic filtering that uses session information, including supported...
Context encoders - Context encoders are neural networks trained to predict missing image regions from the surrounding visible content.
Context-free grammar - A context-free grammar, or CFG, is a formal system of rules for building strings and describing their hierarchical structure.
Context mixing - Context mixing is a compression technique that combines predictions from several statistical models to estimate the next symbol or bit.
Context-of-use - Context of use is the combination of people, their goals and tasks, available resources, and the environment in which a system is used.
Context-specific independence - Context-specific independence is a probabilistic relationship in which some variables become independent when a particular context holds.
Context tree weighting - Context tree weighting, or CTW, is a sequential prediction and lossless-compression method that efficiently combines probability models with different...