Definite clause - A definite clause is a logical clause containing exactly one positive literal.
Definite clause grammar - A definite clause grammar, or DCG, is a notation for describing grammars and related sequence-processing relations in logic programming.
Definite reference - Definite reference is a use of language that presents an intended referent as identifiable to the listener or reader in the relevant context.
Deflate - Deflate, usually written DEFLATE, is a lossless compressed-data format that combines references to repeated data with Huffman coding.
Deflator - A deflator is a price measure used to remove the effect of price changes from a monetary series so that values can be compared on a common price basis.
Deformable parts model - A deformable parts model detects objects by combining evidence for an overall object pattern with evidence for several movable parts.
Deformable template - A deformable template is a model of an object's shape or structure that can change within specified limits to fit observed data.
Defuzzification - Defuzzification is the process of converting a fuzzy output representation into a single numerical value.
Degenerate dimension - A degenerate dimension is a dimensional-modeling identifier kept directly in a fact table without a separate dimension table of descriptive attributes.
Deghosting - Deghosting reduces duplicate, translucent or inconsistent structures created when multiple images containing motion or misalignment are combined.
Degree adverb - A degree adverb expresses the extent, intensity or sufficiency of a property, state or activity.
Degree heuristic - The degree heuristic is a variable-selection rule for constraint satisfaction that prefers an unassigned variable involved in many constraints with other...
Degree of belief - A degree of belief is the probability an agent assigns to a proposition in light of its information and assumptions.
Degree of belonging - A degree of belonging is a numerical value expressing how strongly a data point is associated with a cluster under a specified clustering method.
Degree of parallelism - Degree of parallelism is the number of execution participants used, or permitted, to work on an operation concurrently.
Degree of truth - A degree of truth expresses how fully a proposition is true within a logic that permits intermediate truth values.
Degree-Rips bifiltration - A degree-Rips bifiltration is a two-parameter construction in topological data analysis that examines a point cloud using both distance scale and local...
Degrees of freedom - Degrees of freedom describe the number of independent directions or pieces of information available after relevant constraints or fitted quantities are...
Degrees-of-freedom ladder - In the supplied image-warping context, the degrees-of-freedom ladder is an explanatory hierarchy of two-dimensional transformation models: translation...
Delaunay triangulation - Delaunay triangulation divides a set of planar points into non-overlapping triangles such that no input point lies strictly inside any triangle's circumcircle.
Delete list - A delete list is the set of facts that an action makes false in a STRIPS-style planning model.
Deletion Anomaly - A deletion anomaly occurs when deleting a row to remove one fact unintentionally removes another independent fact that should remain represented in the...
Deliberative layer - A deliberative layer is the part of an agent or robot architecture that performs planning, reasoning, or other computations requiring more time than...
Delphi method - The Delphi method is a structured process for collecting and refining judgments from a panel through repeated rounds of questions and controlled feedback.
Delta encoding - Delta encoding represents information through differences from a known reference instead of repeating the whole value or object.
Delta feature - A delta feature is an input built from the change between values, such as this month's sales minus last month's, so the model sees movement rather than only...
Delta modulation - Delta modulation is a signal-coding technique that represents a changing signal through a sequence of small upward or downward adjustments.
Delta rule - The delta rule is an error-driven learning rule that adjusts a model's weights in the direction that reduces a squared-error objective.
Deming regression - Deming regression estimates a straight-line relationship when both measured variables contain error.
Demographic parity - Demographic parity is a statistical fairness criterion requiring a model's predictions to be independent of a specified sensitive attribute.
Demonic nondeterminism - Demonic nondeterminism is an interpretation of unspecified choice in which a required guarantee must withstand every permitted alternative, including...
Demosaicking - Demosaicking reconstructs full-color image values from measurements captured through a color filter array.
Dempster-Shafer theory - Dempster-Shafer theory, also called evidence theory or the theory of belief functions, is a mathematical framework for representing uncertain evidence.
Denial-of-service - Denial-of-service, commonly abbreviated DoS, is the prevention of authorized access to a resource or a delay that makes required operations unavailable when...
Denoising - Denoising is removing unwanted noise from data, such as static from audio, grain from images or jitter from measurements, so the underlying signal is easier...
Denoising Auto Encoder - A denoising autoencoder is a neural network trained to reconstruct an original input from a deliberately corrupted version.
Denoising diffusion probabilistic model - A denoising diffusion probabilistic model, or DDPM, generates data through a learned sequence of denoising transitions.
Denoising score matching - Denoising score matching trains a model to estimate the gradient of a noisy data distribution's log density by using clean examples and deliberately...
Dense feature - A dense feature is an input whose value is almost always present and meaningful, such as age or order total, as opposed to a sparse feature that is empty or...
Density-based clustering validation - Density-Based Clustering Validation, or DBCV, is a score for assessing clustering solutions using density-based ideas of connection within groups and...
Density estimation - Density estimation uses observed data to estimate a probability density describing how values are distributed.
Density kernel - A density kernel is a weighting function used to spread an observation's contribution over nearby locations when estimating a probability density.
Dental sound - A dental sound is a speech sound whose principal constriction involves the tongue at the teeth.
Dependability - Dependability is the ability of a system to provide a service that people have sound reasons to rely on.
Dependability state model - A dependability state model represents a system through states such as operational, degraded and failed, together with possible transitions between them.
Dependency-directed backtracking - Dependency-directed backtracking is a search and reasoning approach that uses the dependencies behind a failure to decide which earlier assumptions or...