Evidence - Evidence, in probabilistic AI, is the information on which an inference is conditioned.
Evidence reversal - Evidence reversal is a probabilistic inference technique that restructures a model so observed evidence can guide the generation of hidden-state samples.
Evolutionary acquisition of neural topologies - Evolutionary acquisition of neural topologies, usually shortened to EANT, is a neuroevolution method that searches for both a neural network's structure and...
Evolutionary algorithms - Evolutionary algorithms are a family of search and optimization methods inspired by variation and selection in biological evolution.
Evolutionary computation - Evolutionary computation is a family of computational search methods inspired by variation and selection in biological evolution.
Evolutionary developmental robotics - Evolutionary developmental robotics studies robot design and behavior by combining evolutionary search across generations with development within a robot's...
Evolutionary multi-objective optimization - Evolutionary multi-objective optimization uses evolutionary search to find useful solutions when several objectives must be considered together.
Evolutionary multimodal optimization - Evolutionary multimodal optimization uses evolutionary search to discover and retain multiple distinct optima or promising solution regions within an...
Evolutionary robotics - Evolutionary robotics applies evolutionary search methods to robot controllers, physical designs, or both.
Evolutionary strategies - Evolutionary strategies, commonly called evolution strategies or ES, are optimization methods that improve candidate solutions through variation...
Evolvability (computer science) - In computer science, evolvability can refer specifically to Leslie Valiant's mathematical framework for asking which mechanisms can emerge through...
Evolving classification function - An evolving classification function is a classifier that can adjust its representation as data arrives.
Evolving intelligent system - An evolving intelligent system is a learning system that can adapt its internal structure as new data arrive, as well as update numerical parameters.
EVOP, Evolutionary Operation - EVOP, short for Evolutionary Operation, is an approach to improving an operating process through deliberately planned, usually small changes to its...
EWMA chart - An EWMA chart is a statistical process-control chart that monitors an exponentially weighted moving average of successive observations.
Ex ante forecast - An ex ante forecast is a forecast produced using only information available at the time it is made.
Exact algorithm - An exact algorithm is an algorithm that solves the specified problem correctly rather than returning an approximation.
Exact cell decomposition - Exact cell decomposition is a motion-planning approach that partitions the collision-free configuration space into cells while preserving its relevant...
Exact match - Exact match is an evaluation rule that gives credit only when a prediction equals an accepted reference answer under the specified comparison procedure.
Exact test - An exact test is a hypothesis test calibrated using a finite-sample null distribution rather than relying on a large-sample approximation.
Example-based machine translation - Example-based machine translation, or EBMT, translates new input by retrieving relevant bilingual examples and adapting their target-language counterparts.
Exclusion Bias - Exclusion bias arises when relevant people, groups, or cases are left out of data collection, testing, or analysis in a way that distorts the resulting...
Excursion probability - An excursion probability is the probability that a random process exceeds a specified level somewhere within a defined observation domain.
Execution - Execution is the process of carrying out selected actions or instructions.
Execution monitoring - Execution monitoring is the process of observing an agent's actions and environment during plan execution to determine whether the current course of action...
Execution plan - An execution plan is a database's description of the operations it intends to use, or has used, to answer a query.
Exemplar inpainting (Criminisi) - Exemplar inpainting, in the Criminisi approach, fills a selected missing or unwanted image region by copying suitable patches from an available source region.
Exhaustive decomposition - An exhaustive decomposition describes a category using subcategories whose combined membership covers the whole category.
Existence-Based Identity - Existence-based identity describes object identity that is independent of an object's current attribute values.
Existence uncertainty - Existence uncertainty is uncertainty about whether a modeled object, event, or relationship actually exists.
Existential graphs - Existential graphs are a diagrammatic system of logic developed by Charles Sanders Peirce.
Existential risk - Existential risk is the possibility of an outcome that destroys humanity or permanently and drastically limits humanity's future potential.
Exogenous variable - An exogenous variable is a variable whose value is treated as determined outside the model or system being analyzed.
Expand (pyramid operator) - Expand is an image-pyramid operator that maps a smaller image level onto a larger sampling grid, typically doubling each spatial dimension and applying an...
Expander walk sampling - Expander walk sampling is a method of generating useful samples by following a random walk on a suitably well-connected graph called an expander.
Expectation conditional maximization - Expectation conditional maximization (ECM) is a variant of the expectation-maximization algorithm that replaces a difficult joint maximization step with...
Expectation-maximization - Expectation-maximization, usually abbreviated EM, is an iterative method for estimating model parameters when some relevant information is unobserved.
Expectation propagation - Expectation propagation, or EP, is an approximate Bayesian inference method that replaces difficult probability factors with simpler approximations and...
Expected calibration error - Expected calibration error (ECE) is a summary measure of how closely a classifier's stated confidence matches its observed correctness.
Expected frequencies - Expected frequencies are the counts predicted for categories or table cells by a specified probability model, often the null hypothesis in a statistical test.
Expected improvement - Expected improvement (EI) is a Bayesian optimization acquisition function that measures the model-predicted average amount by which evaluating a candidate...
Expected monetary value - Expected monetary value, or EMV, is the probability-weighted average of possible monetary outcomes.
Expected SARSA - Expected SARSA is a temporal-difference method that updates an action-value estimate using the policy-weighted average of the next state's action values.
Expected utility - Expected utility is the probability-weighted average of the utility assigned to possible outcomes.
Expected value - Expected value is the probability-weighted average of a numerical quantity's possible values. It is also called the mean or expectation.
Expectiminimax - Expectiminimax is a game-tree search method that extends minimax to include random events.