Mean squared Bellman error - Mean squared Bellman error, abbreviated MSBE, measures how closely an approximate value function satisfies a Bellman equation.
Mean Squared Error - Mean Squared Error, or MSE, is the average of squared differences between observed values and corresponding predictions.
Mean squared logarithmic error - Mean squared logarithmic error, or MSLE, is the average squared difference between the natural logarithms of one plus each actual value and one plus its...
Mean squared projected Bellman error - Mean squared projected Bellman error, abbreviated MSPBE, measures the squared distance between an approximate value function and its Bellman target after...
Mean squared temporal-difference error - Mean squared temporal-difference error is the expected square of the error between a sampled reward-plus-continuation target and the current value estimate.
Mean time to failure - Mean time to failure, or MTTF, is the expected operating time until a defined failure for an item or population under specified conditions.
Means - ends analysis - Means - ends analysis is a problem-solving strategy that compares the current situation with a desired goal, identifies an important difference and chooses...
Measure space - A measure space is a mathematical structure consisting of a set, a collection of its measurable subsets, and a rule assigning a nonnegative size to each...
Measurement Bias - Measurement bias is systematic distortion in how a quantity is recorded or represented.
Measurement error - Measurement error is the difference between a measured value and an appropriate reference value.
Measurement model - A measurement model describes how observations, corrections, and other relevant quantities relate to the quantity being measured.
Mechanism design - Mechanism design studies how to choose rules for interactions among participants so that their strategic behavior produces desired outcomes.
Medallion architecture - Medallion architecture is a data-design pattern that organizes processing into layers commonly called bronze, silver and gold.
Medial axis transform - The medial axis transform represents a shape through its central skeletal structure together with distances to its boundary.
Median - The median is a value that divides an ordered distribution so that at least half the observations or probability lie at or below it and at least half lie at...
Median absolute error - Median absolute error is a prediction-error measure obtained by taking the median of the absolute differences between actual values and their corresponding...
Median filter - A median filter replaces each value with the median of values in a nearby window.
Median test - The median test, commonly called Mood's median test, is a nonparametric procedure for comparing the population medians of two or more independent groups.
Median-threshold bitmap (MTB) - A median-threshold bitmap (MTB) is a binary image that marks whether each pixel is brighter than the image's median intensity.
Mediation (statistics) - Mediation in statistics concerns an intermediate variable through which an exposure or intervention may affect an outcome.
Medoid - A medoid is an actual member of a group of observations chosen to minimize the total dissimilarity to the other members.
Mega-Merger - Mega-Merger is a distributed algorithm presented through the idea of groups of network nodes merging into larger groups until one connected structure remains.
Mehrotra predictor - corrector method - Mehrotra's predictor - corrector method is a primal - dual interior-point optimization method that combines an affine-scaling prediction with a correction...
Mel - A mel is a unit on a perceptually motivated pitch scale.
Mel-frequency cepstral coefficient - A mel-frequency cepstral coefficient, or MFCC, is one value in a compact representation of an audio frame's spectral shape.
Membership function (mathematics) - A membership function assigns each element of a specified domain a degree of membership in a fuzzy set, usually between 0 and 1.
Membership inference attack - A membership inference attack attempts to determine whether a particular record was included in a machine-learning model's training data.
Membrane - In Poisson image editing, a membrane is a smooth correction surface that carries the difference between source and destination boundary values into the...
Memoization - Memoization is an optimization that stores a function's previously computed results and reuses them when the same relevant inputs occur again.
Memory coherence - Memory coherence is the property that accesses to the same shared memory location behave according to a consistent ordering, even when processors hold...
Memory-level parallelism - Memory-level parallelism, or MLP, is the overlap of multiple memory operations, particularly outstanding cache misses, so that a processor does not have to...
Memory map - A memory map is a file-access technique where a file on disk is mapped directly into a program's address space, so the program reads and writes it like...
Mendelian randomization - Mendelian randomization, or MR, uses genetic variants as instrumental variables to investigate whether an exposure has a causal effect on an outcome.
Mention detection - Mention detection is the task of identifying the text spans that refer to entities, or that count as mentions under a specified annotation scheme.
Mention-pair - Mention-pair is a coreference modeling approach that classifies a pair of textual mentions as referring, or not referring, to the same entity.
Mercer's theorem - Mercer's theorem is a result explaining how suitable continuous, symmetric, positive-semidefinite kernels can be represented by nonnegative eigenvalues and...
Merge-scan - Merge-scan is a way of joining two ordered collections by moving through their join-key values together and combining matching rows.
Merit function - A merit function is a numerical objective used to score candidate solutions during optimization.
Mesh subdivision - Mesh subdivision divides a polygon mesh into smaller faces.
Mesh / triangulation warp - A mesh or triangulation warp deforms an image using a network of control points connected into triangles.
Mesokurtic - Mesokurtic describes a distribution whose kurtosis equals the normal distribution's benchmark: Pearson kurtosis of three, or excess kurtosis of zero.
Message passing - Message passing is a way for computational participants to communicate by sending and receiving messages.
Message queuing service - A message queuing service lets software components send messages through a queue rather than requiring the receiving component to finish work during the...
Meta-analysis - Meta-analysis is the statistical synthesis of results from multiple studies addressing a sufficiently related question.
Meta-learning - Meta-learning, often called learning to learn, is training a model on many tasks so it adapts to a new task from very few examples, rather than starting...
Meta-optimization - Meta-optimization is the use of an optimization process to improve the configuration or behavior of another optimization process.