AI terms starting with F

282 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

  • Fringe search - Fringe Search is a heuristic pathfinding algorithm that processes a stored search frontier using an increasing cost threshold.
  • Frisch - Waugh - Lovell theorem - The Frisch-Waugh-Lovell theorem is an exact algebraic result for ordinary least squares regression.
  • Front-to-end - Front-to-end describes a bidirectional heuristic-search approach in which each search estimates distance to its opposite fixed endpoint.
  • Front-to-front - Front-to-front describes bidirectional heuristic search that uses estimated distances between states on opposing search frontiers.
  • Frontier - A frontier is the collection of search nodes that have been discovered and are waiting to be selected for further exploration.
  • Full functional dependency - A full functional dependency holds when a set of attributes determines another attribute or set of attributes, and no proper subset of that determining set...
  • Full joint probability distribution - A full joint probability distribution specifies the probabilities of all combinations of values for all random variables included in a probability model.
  • Full-rank - A matrix is full-rank when its rank equals the largest value possible for its dimensions. For an m-by-n matrix, that maximum is min(m, n).
  • Full-reference metric - A full-reference metric evaluates the quality or similarity of an image or video by comparing it with a complete reference version.
  • Fully-connected - Fully-connected describes a neural-network layer in which each output unit has a weight for every input feature supplied to that layer.
  • Fully connected layer - A fully connected layer is a neural-network layer in which each output unit has a trainable weight for every input feature in the vector it receives.
  • Fully independent training conditional approximation - The fully independent training conditional approximation (FITC) is a sparse Gaussian process regression approximation that makes training function values...
  • Function approximator - A function approximator is a model that represents an estimated relationship between inputs and outputs.
  • Function Calling with LLMs - Function Calling with LLMs is a way for a language model to request the use of defined software functions through structured outputs.
  • Function transformation - A function transformation is applying a mathematical function to a field's values, such as taking the logarithm of income, so the model meets the data on...
  • Function word - A function word primarily expresses a grammatical relationship or structural meaning rather than naming a person, object, action, or descriptive property.
  • Functional dependency - A functional dependency is a rule in relational data stating that one set of attributes uniquely determines another set.
  • Functional presence engine - A functional presence engine, or FPE, is a historical term for a text-processing and response mechanism described in a family of data-disambiguation patents.
  • Functional regression - Functional regression models relationships in which an outcome, a predictor or both are functions, such as curves observed over time, wavelength or space.
  • Fundamental frequency - Fundamental frequency, usually written F0, is the repetition rate of a periodic signal, measured in hertz, or cycles per second.
  • Funding Bias - Funding Bias is a distortion in research or evaluation that favors the interests or expectations of the organization or person providing financial support.
  • Futility pruning - Futility pruning is a game-tree search heuristic that skips selected continuations when a static evaluation plus an improvement allowance appears...
  • Fuzzy agent - A fuzzy agent is a software agent that uses fuzzy logic in its reasoning or decision rules.
  • Fuzzy associative matrix - A fuzzy associative matrix is a table that associates combinations of fuzzy input categories with output categories or actions.
  • Fuzzy c-means - Fuzzy c-means is a clustering algorithm that assigns each observation a degree of membership in each of a chosen number of clusters.
  • Fuzzy classification - Fuzzy classification assigns an object a degree of membership in one or more classes, rather than requiring every class decision to be simply yes or no.
  • Fuzzy cognitive map - A fuzzy cognitive map is a model that represents concepts as nodes and graded influences between them as weighted connections.
  • Fuzzy control - Fuzzy control is a control approach that uses fuzzy sets and rules to turn observations of a process into control actions.
  • Fuzzy control system - A fuzzy control system is an arrangement that uses a fuzzy-logic controller to influence a process, together with the measurements, interfaces and other...
  • Fuzzy differential equation
  • Fuzzy differential inclusion - A fuzzy differential inclusion models change when the admissible rate of change is described by a fuzzy set.
  • Fuzzy electronics - Fuzzy electronics is the implementation of fuzzy-logic operations in electronic hardware, including dedicated analog, digital or mixed-signal circuits.
  • Fuzzy finite element - Fuzzy finite element analysis combines finite element modeling with fuzzy descriptions of uncertain inputs.
  • Fuzzy logic - Fuzzy logic is an approach to reasoning that allows graded truth or satisfaction rather than only true and false.
  • Fuzzy measure theory - Fuzzy measure theory studies monotone set functions that need not be additive, together with ways to combine or integrate information using them.
  • Fuzzy number - A fuzzy number is a fuzzy set on the real line that represents a numerical quantity through graded membership.
  • Fuzzy relation - A fuzzy relation assigns a membership grade to each relevant combination of objects.
  • Fuzzy retrieval - Fuzzy retrieval is an information-retrieval approach that represents degrees of match rather than only yes-or-no membership.
  • Fuzzy routing - Fuzzy routing applies fuzzy-logic methods to decisions about paths or next hops in a communication network.
  • Fuzzy rule - A fuzzy rule is an if-then statement that connects graded input conditions to an output consequence.
  • Fuzzy set operations - Fuzzy set operations combine or transform fuzzy sets by operating on their membership grades.
  • Fuzzy set theory - Fuzzy set theory is the mathematical study of sets whose elements can belong by degree.

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