AI terms starting with C

669 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

  • Cold languages - Cold languages is a metaphorical label used in some linguistic discussions for languages with relatively sparse explicit reference, where listeners often...
  • Cold start (recommender systems) - Cold start in recommender systems is the difficulty of making useful recommendations when there is little or no relevant interaction history.
  • Collaborative filtering - Collaborative filtering is a recommendation approach that learns from patterns of interaction between users and items.
  • Collapsed Gibbs sampling - Collapsed Gibbs sampling is a Markov chain Monte Carlo method that integrates some unknown variables out of a probability model, then repeatedly samples the...
  • Collective operation - A collective operation is a communication operation involving a defined group of processes in a parallel program.
  • Collider - A collider is a variable on a causal path where two arrowheads meet, as in X→Z←Y.
  • Collinearity - Collinearity is a linear dependence or near-dependence among predictor variables.
  • Collocation (remote sensing) - Collocation in remote sensing is the matching of observations from different sources so that they can be compared as measurements of sufficiently...
  • Cologne phonetics - Cologne phonetics, also called Kölner Phonetik, is a phonetic coding method designed for German-language text.
  • Color difference (R−G, B−G) - Color difference signals R−G and B−G represent the red and blue channel values relative to the green channel at the same image location.
  • Color filter array (CFA) - A color filter array, or CFA, is a spatial pattern of tiny optical filters associated with an image sensor's photosites.
  • Color fringing - Color fringing is an unwanted colored border or halo around an image feature, often most visible at a high-contrast edge.
  • Color gamut - A color gamut is the range of colors that a device, medium or defined color representation can reproduce or represent under specified conditions.
  • Color grading - Color grading is the deliberate adjustment of an image's color and tonal appearance to support a consistent visual style, mood or storytelling purpose.
  • Color histogram - A color histogram summarizes how frequently different colors, or ranges of color values, occur in an image or selected region.
  • Color layout descriptor - A color layout descriptor is a compact representation of where broad colors occur within an image.
  • Color models - Color models are mathematical ways of describing color through components or coordinates.
  • Color quantization - Color quantization reduces the set of colors used to represent an image, typically by mapping original colors to a smaller palette.
  • Color space - A color space is a defined system for representing colors with numerical coordinates and an interpretation of those coordinates.
  • Color transfer - Color transfer changes an image's color appearance using another image or a reference color distribution as guidance.
  • Color2Gray - Color2Gray is a color-to-grayscale method designed to preserve visually important distinctions that can disappear when an image's color information is removed.
  • Coloring - Coloring, in the graph-theory sense used here, assigns labels called colors to graph vertices so that adjacent vertices receive different labels.
  • Colorization (scribble-based) - Scribble-based colorization adds color to a grayscale image using sparse color marks supplied by a person.
  • Column - A column is a named vertical part of a table that holds values for a particular attribute or field across its rows.
  • Column space - The column space of a matrix is the set of all linear combinations of its columns.
  • Combinations - Combinations are selections in which order does not matter.
  • Combinatorial data analysis - Combinatorial data analysis studies data through discrete arrangements of objects, such as groupings, orderings, or hierarchies.
  • Combinatorial design
  • Combinatorial explosion - Combinatorial explosion is the rapid growth in the number of possible combinations, arrangements or decision sequences as a problem becomes larger.
  • Combinatorial search - Combinatorial search explores combinations of discrete choices to find a solution satisfying constraints or optimizing an objective.
  • Combinatorics - Combinatorics is the branch of mathematics concerned with discrete structures, including how to count, arrange and select objects and how to establish that...
  • Combs method - The Combs method is an approach to organizing fuzzy rules associated with William Combs and the union rule configuration.
  • Commissive speech act - A commissive speech act is an utterance that commits its speaker to a future course of action.
  • Commit (data management) - In data management, a commit is the successful completion of a transaction that makes its changes part of the database's accepted state under the system's...
  • Commitment ordering - Commitment ordering is a concurrency-control property that aligns transaction commit order with the order imposed by conflicting operations.
  • Committee machine - A committee machine combines the outputs of several predictive models into one overall response.
  • Common cause - A common cause is a source of variation that forms part of the usual operation of a process.
  • Common data model - A common data model is an agreed way to describe shared entities, attributes, relationships and meanings across systems.
  • Common ground - Common ground is the information that participants in a conversation treat as shared, including relevant knowledge, beliefs and assumptions.
  • Common noun - A common noun is a noun used to name a class or kind of person, place, object, substance or idea, rather than functioning as a proper name.
  • Common random numbers - Common random numbers is a simulation technique that deliberately shares random inputs between alternatives being compared.
  • Common source bias - Common source bias is distortion in a measured relationship that arises because the variables are obtained from the same information source.
  • Commonality analysis - Commonality analysis decomposes the variance accounted for by a regression model into components associated uniquely with individual predictors and...
  • Commonsense knowledge (artificial intelligence) - Commonsense knowledge in AI is background knowledge about everyday objects, events and relationships that people often leave unstated.
  • Commonsense reasoning - Commonsense reasoning uses everyday knowledge about the world to draw conclusions that are not explicitly stated.
  • Communicability - Communicability is a network measure describing the connection between two nodes using walks of many lengths, rather than only their shortest path.
  • Communicability Betweenness - Communicability betweenness is a node-centrality measure based on how much that node contributes to the weighted walks connecting other nodes.
  • Communication-avoiding algorithm - A communication-avoiding algorithm reorganizes computation to reduce costly data movement or communication events.

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