English auction - An English auction is an ascending-price auction in which participants compete through increasing bids, or remain active as a displayed price rises.
Ensemble - An ensemble is a model made by combining several models, so that their collective answer is better than any of them alone.
Ensemble Kalman filter - The ensemble Kalman filter, or EnKF, is a method for updating estimates of a changing system by combining an ensemble of model forecasts with incoming...
Ensemble learning - Ensemble learning is the discipline of training multiple models and combining them deliberately, covering the strategies, bagging, boosting and stacking...
Entailment - Entailment is a relationship in logic: a set of statements entails another statement when every interpretation that makes the starting statements true also...
Enterprise bus matrix - An enterprise bus matrix is a data-warehouse planning grid that maps business processes to the dimensions used to describe them.
Enterprise cognitive system - An enterprise cognitive system is a broad label for business software that combines AI capabilities with organisational data and workflows to support tasks...
Enterprise data modeling - Enterprise data modeling is the practice of describing the important data concepts, relationships and rules across an organization.
Enterprise data planning - Enterprise data planning is the coordinated process of deciding what an organization needs from its data and how to develop the capabilities to meet those...
Enterprise information integration - Enterprise information integration, or EII, provides a unified way to access information held in different organisational sources.
Entity-based coherence - Entity-based coherence is the continuity a text achieves through its references to people, things, organizations, and other discourse entities.
Entity grid - An entity grid is a table that represents how people, objects, and other discourse entities appear across the sentences of a document.
Entity integrity - Entity integrity is the database principle that each row must have a dependable identity, commonly enforced through a primary key whose values are unique...
Entity linking - Entity linking is the task of connecting a mention in text to the appropriate entity record in a knowledge base.
Entity-Relationship Model - The entity-relationship model is a conceptual approach to describing data through entities, their attributes, and relationships among them.
Entropic vector - An entropic vector records the joint entropies of all nonempty subsets of a collection of discrete random variables with finite entropies.
Entropically regularized optimal transport - Entropically regularized optimal transport finds a mass-transfer plan that balances low transport cost with a preference for a more spread-out plan.
Entropy - Entropy, in information theory, measures the average uncertainty associated with a probability distribution.
Entropy coding - Entropy coding is lossless coding that uses the relative likelihood of symbols or symbol sequences to represent data compactly.
Entropy estimation - Entropy estimation is the statistical task of estimating a probability distribution's entropy from observed data.
Entropy minimization in semisupervised learning - Entropy minimization in semisupervised learning is a training approach that encourages a classifier to make concentrated, low-entropy class predictions on...
Entropy power inequality - The entropy power inequality is an information-theoretic result bounding the entropy power of a sum of independent continuous random variables or vectors.
Entropy rate - Entropy rate is the limiting average uncertainty per observation in a stochastic process.
Entry-sequenced organization - Entry-sequenced organization is a way of arranging stored records according to the order in which they enter a data set.
Entry SQL - Entry SQL is the entry-level conformance category associated with the historical SQL-92 standard.
Entry time - Entry time is the point at which a person or other unit begins contributing observations or risk time to a study.
Enumeration Domain - An enumeration domain is a domain whose permitted values are explicitly listed, such as draft, submitted, and approved for a document status.
Enumeration Encoding - Enumeration encoding assigns a distinct code to each value in a defined set of alternatives.
Enumeration Table - An enumeration table is a table that lists the allowed alternatives for a category, usually with a stable code and a readable label.
Environment - In AI, an environment is the world an agent acts in: everything outside the agent that it can observe, influence and receive consequences from.
Environment class - An environment class is a collection of possible environments used to specify, study, or evaluate an intelligent agent.
Environment grounding - Environment grounding is anchoring an agent's outputs in the actual state of its environment, through fresh observations, tool results or retrieved data...
Epanechnikov kernel - The Epanechnikov kernel is a compactly supported, parabolic weighting function used in statistical smoothing, especially kernel density estimation.
Epigraph - The epigraph of a function is the set of points on or above its graph.
Epipolar geometry - Epipolar geometry describes the geometric relationship between two views of a three-dimensional scene taken from different camera positions.
Episode - An episode is one complete run of an agent's task, from its starting situation to a natural end, such as one game, one delivery or one customer conversation.
Episodic memory - Episodic memory is an agent's store of specific past experiences it can look back at: particular events, conversations or attempts, rather than generalized...
Epistemic modal logic - Epistemic modal logic is a formal system for reasoning about knowledge, including what one agent knows about the world and about other agents' knowledge.
Epoch - An epoch is one complete pass through the entire training dataset during a model's training; training usually runs for many epochs.
Epsilon-ball - An epsilon-ball is a neighborhood of points within a specified distance epsilon of a chosen center.
Epsilon greedy policy - An epsilon greedy policy is a decision rule that usually chooses an action with the highest current estimated value but sometimes explores through random...
Equal impact - Equal impact is a fairness objective concerned with the benefits and costs that a decision system creates for affected people.
Equality of opportunity - In binary machine-learning fairness, equality of opportunity usually means that the true-positive rate is the same across the groups being compared.
Equality symbol - The equality symbol, usually written =, states in first-order logic that two terms refer to the same object.
Equalized odds - Equalized odds is a statistical fairness criterion requiring a model's predictions to be independent of group membership once the actual target outcome is...
Equally weighted means - Equally weighted means are averages formed by giving each component mean the same weight, regardless of how many observations contributed to it.