AI terms starting with M

530 terms

# A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

  • Multiple treatments - Multiple treatments refers to a study or causal-inference problem involving several intervention alternatives rather than a single treated-versus-untreated...
  • Multiplexer - A multiplexer, often shortened to mux, selects one of several input signals and passes the selected signal to an output. Control inputs determine the selection.
  • Multiplication Rule - The multiplication rule of probability calculates the chance that events occur together.
  • Multiplicative binary search - Multiplicative binary search is a binary-search variant that searches keys stored in the level-order layout of an implicit binary search tree.
  • Multiplicative law of probability - The multiplicative law of probability, usually called the multiplication rule, expresses the probability that events occur together using a marginal...
  • Multiplicative model - A multiplicative model combines its components by multiplication rather than addition.
  • Multiplicative noise - Multiplicative noise is random variation that scales a signal rather than simply adding a fixed-size disturbance to it.
  • Multiplicative utility function - A multiplicative utility function combines utilities for several attributes through a product-based expression that includes interactions between those...
  • Multiplicative weight update method - The multiplicative weight update method is an iterative decision-making framework that maintains weights over alternatives and changes each weight by...
  • Multiprocessing - Multiprocessing is the use of multiple processing resources to execute work concurrently, potentially at the same time.
  • Multiprocessor system architecture - Multiprocessor system architecture describes how multiple processors or processing cores are organized and connected with memory, input/output and one another.
  • Multisite cloud - A multisite cloud distributes cloud infrastructure or workloads across more than one physical location.
  • Multispectral pattern recognition - Multispectral pattern recognition identifies or groups objects and regions using measurements from several wavelength bands.
  • Multistage interconnection networks - Multistage interconnection networks connect many endpoints through several layers of smaller switches.
  • Multistage Sampling - Multistage sampling selects a sample through two or more successive levels of sampling units.
  • Multistate model - A multistate model describes how a unit moves among a defined set of states over time.
  • Multitask - Multitask describes learning several related tasks together in one model: one representation, several output heads, so each task borrows evidence from the...
  • Multitask learning - Multitask learning trains related learning tasks jointly so that information learned for one task can help the others.
  • Multithreading (computer architecture) - In computer architecture, multithreading means providing hardware support for multiple execution threads within a processing core.
  • Multivalued dependency - A multivalued dependency is a rule about a relation in which one group of attributes determines a set of values for another group independently of the...
  • Multivalued Domain - A multivalued domain, in this glossary's database-modeling sense, permits an attribute to represent several values together for one entity.
  • Multivalued Fact - A multivalued fact is information about an entity that can have several associated values at the same time.
  • Multivalued treatment - A multivalued treatment is a treatment variable with more than two possible values, such as no participation, low-intensity participation and high-intensity...
  • Multivariable model - A multivariable model uses several predictor variables to describe or predict an outcome.
  • Multivariate adaptive regression spline - A multivariate adaptive regression spline model represents a response as a weighted combination of simple piecewise functions chosen from the data.
  • Multivariate analysis of variance - Multivariate analysis of variance, usually abbreviated MANOVA, compares groups on several numerical outcomes considered jointly.
  • Multivariate Gaussian - A multivariate Gaussian, also called a multivariate normal distribution, is a probability distribution for a vector of numerical variables considered jointly.
  • Multivariate kernel density estimation - Multivariate kernel density estimation estimates a joint probability density for several continuous variables by averaging small density functions centered...
  • Multivariate Laplace distribution - A multivariate Laplace distribution extends Laplace-type probability modeling to several variables.
  • Multivariate model - A multivariate model simultaneously describes or predicts more than one response variable.
  • Multivariate normal distribution - The multivariate normal distribution is a probability distribution for a vector whose every linear combination is normally distributed, allowing constant...
  • Multivariate outliers - Multivariate outliers are observations whose combinations of values are unusual relative to the joint pattern in several variables.
  • Multivariate procedures - Multivariate procedures are statistical methods that analyze two or more response variables simultaneously.
  • Multivariate random variable - A multivariate random variable, also called a random vector, is an ordered collection of random variables defined on the same probability space.
  • Multivariate regression - Multivariate regression models several response variables using one or more predictors.
  • Multivariate statistics - Multivariate statistics studies data in which several variables are recorded together for each observational unit.
  • Multivariate Student distribution - The multivariate Student distribution, usually called the multivariate Student-t distribution, is a probability distribution for a vector of continuous...
  • Multiview representation learning - Multiview representation learning learns useful features by considering two or more related descriptions of the same objects, events, or observations.
  • Multiway data analysis - Multiway data analysis studies data organized along several distinct dimensions, often three or more, while retaining their joint structure.
  • Multiword expressions - Multiword expressions are combinations of words with conventional lexical, grammatical, or meaning properties that require treatment beyond an unrestricted...
  • Music alignment - Music alignment is the process of identifying corresponding musical positions across different representations or performances of a work.
  • Mutable Data Types - Mutable data types are types whose objects can have their contents or state changed after creation.
  • Mutation - In evolutionary computation, mutation is an operator that changes a candidate solution to create a variant for evaluation.
  • Mutation rate - Mutation rate is a parameter controlling how frequently mutation is attempted or applied in an evolutionary algorithm.
  • Mutex - Mutex is short for mutual exclusion.
  • Mutual information - Mutual information measures statistical dependence between two random variables by comparing their joint distribution with the distribution they would have...
  • Mutual preferential independence - Mutual preferential independence is a condition on preferences across several attributes: every subset of attributes is preferentially independent of its...
  • Mutual Reachability Graph - A mutual reachability graph is a weighted graph used in density-based hierarchical clustering, notably HDBSCAN. Each data point is a vertex.

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