Discretization - Discretization represents a continuous quantity or space using a set of distinct values, categories, intervals, or grid points.
Discriminant analysis - Discriminant analysis is a family of statistical methods for distinguishing predefined groups using measured predictors.
Discrimination - Discrimination, in predictive statistics, is a model's ability to distinguish observations with different outcomes by assigning appropriately ordered...
Discriminative model - A discriminative model learns to predict an output from an input directly, rather than modeling the full process that generates the inputs.
Discriminator - A discriminator is the judging half of a generative adversarial network, the model that learns to tell real examples from fakes while its partner, the...
Disfluency - A disfluency is an interruption, hesitation, repetition, or revision in the flow of speech.
Disjoint pattern databases - Disjoint pattern databases are precomputed heuristic tables used in search problems, where suitable nonoverlapping subproblems provide lower-bound costs...
Disjunction - Disjunction is the logical operation commonly expressed as “or.
Disjunctive constraint - A disjunctive constraint requires at least one of several alternative conditions to hold. Its logical form is an OR between constraints.
Disocclusion - Disocclusion is the process by which a previously hidden part of a scene becomes visible when the viewpoint or scene changes.
Disordinal interaction - A disordinal interaction occurs when the direction of a difference between groups reverses across levels of another variable.
Disparate impact - Disparate impact refers to a practice producing disproportionately unfavorable outcomes for a group, even when the practice appears neutral on its face.
Disparate treatment - In machine-learning fairness discussions, disparate treatment refers to treating people differently through a decision process that uses sensitive group...
Disparity - Disparity, in stereo vision, is the difference between the image positions of corresponding scene points in two views.
Disparity map - A disparity map records the positional differences of corresponding scene points between two images, usually a stereo pair.
Dispersion - Dispersion, in the network-analysis sense used here, measures how separated the mutual neighbors of two connected nodes are from one another.
Dispersive flies optimization - Dispersive flies optimization is a population-based stochastic search algorithm inspired by the gathering and dispersal of flies.
Distance - Distance is a numerical measure of separation between two objects.
Distance map - A distance map is an image or grid in which each location stores its distance to a specified set of locations, such as the nearest background pixel, object...
Distance-Regular Graphs - Distance-regular graphs are connected graphs whose local connection counts around pairs of vertices depend on their graph distance rather than on the...
Distant supervision - Distant supervision creates training signals by connecting unlabeled examples with an external source of information, rather than manually labeling every...
Distillation - Distillation is training a student model using information supplied by a teacher model or ensemble.
Distributed algorithm - A distributed algorithm is a procedure carried out by multiple computing participants that perform local work and coordinate through communication.
Distributed algorithmic mechanism design - Distributed algorithmic mechanism design studies how to design computationally practical rules for networked participants whose incentives may differ, when...
Distributed cache - A distributed cache is a caching system used across networked computers, commonly providing a shared cache service and often distributing cached items over...
Distributed computing - Distributed computing is the use of multiple networked computers or processes to perform a coordinated task or provide a service.
Distributed concurrency control - Distributed concurrency control coordinates overlapping operations or transactions on data managed across multiple networked nodes.
Distributed constraint optimization - Distributed constraint optimization coordinates decisions controlled by different agents so that their combined assignment optimizes a shared objective...
Distributed constraint satisfaction - Distributed constraint satisfaction is a way of solving a constraint problem in which variables, constraints, or decision responsibilities are distributed...
Distributed data store - A distributed data store is a system that stores and retrieves data across multiple networked machines.
Distributed database - A distributed database is a database whose data and database operations are managed across multiple networked nodes.
Distributed file system for cloud - A distributed file system for cloud is a file-storage system that uses multiple networked machines to provide file access for cloud or cloud-scale workloads.
Distributed ledger - A distributed ledger is a shared record maintained across multiple networked participants or nodes, using agreed rules to validate and incorporate changes.
Distributed memory - Distributed memory is a computer architecture or programming model in which processing units work with separate local memories and communicate to exchange...
Distributed representation - A distributed representation encodes an item through a pattern across several representational units, with individual units participating in the...
Distributed source coding - Distributed source coding compresses statistically related sources using separate encoders and reconstructs them at a decoder that can use their relationship.
Distributed transaction - A distributed transaction is a transaction whose work involves more than one networked resource or database participant.
Distributed tree search - Distributed tree search divides the exploration of a search tree among cooperating processors or workers.
Distribution - A distribution describes how values of a variable are spread across possible outcomes or ranges.
Distributional - relational database - A distributional - relational database is a database approach that combines structured relations with distributional representations of meaning.
Distributional robustness - Distributional robustness is the ability of a model or decision rule to maintain acceptable performance when the data distribution differs from the one used...
Distributional semantics - Distributional semantics is an approach to representing meaning through patterns of language use, especially the contexts in which words or other...
Distributional similarity - Distributional similarity is similarity inferred from how linguistic items occur across contexts in a body of text.
Distributional Soft Actor Critic - Distributional Soft Actor Critic, or DSAC, is a family of off-policy reinforcement-learning methods for continuous control that combines maximum-entropy...
Distributionally robust optimization - Distributionally robust optimization (DRO) chooses a model or decision by minimizing its worst expected loss across a specified set of possible probability...
Distributionfree tests - Distribution-free tests are statistical tests whose null reference distribution does not depend on the precise form of the population distribution within a...
Divergence - In vector calculus, divergence measures the local net outward flow of a vector field per unit volume, or per unit area in two dimensions.
Divergence-from-randomness model - A divergence-from-randomness model is an information-retrieval model that weights query terms according to how their occurrence in a document departs from a...