All AI terms, A to Z

7,198 terms

# A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

  • 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...
  • 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...

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