Meta-regression - Meta-regression is a statistical method that relates study-level effect estimates to characteristics of the studies contributing to a meta-analysis.
Metadata - Metadata is information that describes, explains, organizes, or helps manage other information resources.
Metadata content standard - A metadata content standard specifies which descriptive information is to be provided about data or other resources.
Metadata controller - A metadata controller, or MDC, coordinates file-system information and access in certain shared-storage architectures.
Metadata item - A metadata item is an individual instance of a metadata object within the relevant metadata model or registry.
Metadata object - A metadata object is an object type defined within a metamodel for describing metadata.
Metadata registry - A metadata registry is an information system for registering and managing metadata.
Metadata repository - A metadata repository is an organized store of information describing data, systems and their relationships.
Metadata structure definition - A metadata structure definition, commonly abbreviated MSD in SDMX, specifies the organization and allowed content of a reference metadata set.
Metadatabase - A metadatabase is a database organized around metadata: descriptions of other data, models and relationships.
Metadirectory - A metadirectory is an integration system that coordinates identity information across directories and other data sources.
Metalevel learning - Metalevel learning is learning how to control a problem-solving process from experience.
Metalevel state space - A metalevel state space is a representation of the possible internal computational states of an agent or program.
Metamerism - Metamerism is the property whereby different spectral distributions produce the same tristimulus color values in a specified colorimetric system.
Metamodel calibration - Metamodel calibration, in the computer-experiment sense used here, estimates unknown parameters of a model by learning an inverse relationship from...
Metaphone - Metaphone is a phonetic encoding algorithm that converts a word into a compact code using spelling rules intended to approximate aspects of its pronunciation.
Metaphor - A metaphor describes or understands one thing in terms of another, transferring selected features or relationships between them.
Metareasoning - Metareasoning is reasoning about how to reason.
Metastore - A metastore is a repository or service that holds metadata describing data objects, rather than simply storing their business records.
METEOR - METEOR is an automatic text-evaluation metric developed for machine translation.
Method error - Method error is the component of measurement error attributable to how a measurement is obtained.
Method of moving asymptotes - The method of moving asymptotes, or MMA, is a gradient-based method for constrained nonlinear optimization.
Method of multipliers - The method of multipliers is an iterative method for constrained optimization that alternates between minimizing an augmented Lagrangian and updating the...
Method of types - The method of types is an information-theoretic technique that groups finite sequences according to their empirical symbol frequencies.
Metonymy - Metonymy is the use of an expression to refer to something associated with its usual referent.
Metric - A metric is a defined quantitative measure used to describe or compare some property of an AI system, dataset, process, or outcome.
Metric Learning - Metric learning learns a distance or similarity representation from data so that comparisons better reflect a specified task.
Metric multidimensional scaling - Metric multidimensional scaling represents objects as points in a chosen-dimensional space so their distances approximate supplied numerical dissimilarities.
Metric space - A metric space is a set of objects together with a distance function that satisfies four rules: nonnegativity, zero distance exactly for identical objects...
Metrology study - A metrology study evaluates the capabilities and limitations of a measurement system for a defined use.
Metropolis-adjusted Langevin algorithm - The Metropolis-adjusted Langevin algorithm, or MALA, is a Markov chain Monte Carlo method that uses gradients of a log target density to guide proposals...
Metropolis-Hastings - Metropolis - Hastings is a Markov chain Monte Carlo algorithm that generates a sequence of samples using proposals followed by acceptance or rejection.
Metropolis within Gibbs - Metropolis within Gibbs is a Markov chain Monte Carlo strategy that updates variables or blocks conditionally, using a Metropolis - Hastings step for...
Michelson contrast - Michelson contrast measures the difference between a pattern's maximum and minimum luminances relative to their sum: C = (Lmax − Lmin)/(Lmax + Lmin).
Micro-thread (multi-core) - A micro-thread, in this multicore context, is a lightweight software execution unit used to interleave small pieces of work within a processor core.
Microaveraging - Microaveraging combines evaluation evidence across classes or labels before calculating the final metric.
Microparallelism - Microparallelism means exploiting parallel work at a small scale, close to individual instructions, packed values or short sections of code.
Min-conflicts - Min-conflicts is a local-search method for constraint satisfaction that repeatedly repairs a complete assignment.
Min-max optimization - Min-max optimization chooses a decision that minimizes the largest value of an objective over a specified set of alternatives, scenarios, or adversarial...
Mini-batch - A mini-batch is the small slice of training data, commonly 32 to a few thousand examples, used for each weight update instead of the whole dataset or a...
Mini Batch K-Means - Mini Batch K-Means is a variant of k-means clustering that updates cluster centers using small subsets of observations rather than repeatedly processing the...
Mini-batch stochastic gradient descent - Mini-batch stochastic gradient descent is an optimization method that updates model parameters using gradients calculated from a relatively small group of...
Minimal Cover - A minimal cover is a simplified set of functional dependencies that has the same logical consequences as an original set.
Minimal mappings - Minimal mappings are compact, nonredundant sets of semantic relationships between two lightweight ontologies from which the remaining relationships can be...
Minimal recursion semantics - Minimal Recursion Semantics, or MRS, is a framework for representing sentence meaning using elementary predications connected by variables and scope...
Minimax - Minimax is a decision principle for choosing actions against an adversary who can respond in the least favorable way.
Minimax approximation algorithm - A minimax approximation algorithm finds an approximation that minimizes the largest error over a specified domain, within a chosen family of approximating...