3,135 articles
Mamdani fuzzy inference system
A Mamdani fuzzy inference system is a fuzzy inference architecture in which rule antecedents and consequents are fuzzy sets, so outputs must be defuzzified into one number.
Manifold alignment
Manifold alignment is a machine learning technique that maps two or more high-dimensional datasets onto a shared low-dimensional manifold so corresponding points can be matched.
Manifold learning
Manifold learning is a family of nonlinear dimensionality reduction methods, such as Isomap, LLE, t-SNE, and UMAP, that embed high-dimensional data in fewer dimensions for visualization and clustering.
MANTA (software)
MANTA (Manta Software Inc., manta.io) is an automated data lineage platform founded in 2016 by Tomas Kratky, spun off from Profinit; it scans databases, ETL, and BI tools to map data flows. Raised $52M, acquired by IBM on 24 October 2023 and folded into watsonx governance.
Manta ray foraging optimization
Manta ray foraging optimization (MRFO) is a nature-inspired metaheuristic algorithm that mimics manta rays' chain, cyclone, and somersault feeding behaviors to solve engineering optimization problems.
Many-objective optimization
Many-objective optimization is the branch of multiobjective optimization that handles problems with more than three or four conflicting objectives, using evolutionary algorithms that balance convergence and diversity.
Map matching
Map matching is an algorithmic method that aligns noisy GPS points to the road network edges a vehicle most likely traversed, often using a Hidden Markov Model.
MAP-Elites
MAP-Elites is a quality-diversity optimization algorithm introduced by Jean-Baptiste Mouret and Jeff Clune in 2015 that keeps the best solution found in each cell of a user-defined behavior grid.
MapR
MapR: San Jose enterprise software company founded 2009, sold a proprietary Hadoop distribution with the C-based MapR-FS file system (no NameNode, NFS/POSIX, random read-write), MapR-DB, and MapR Streams as the Converged Data Platform; acquired by HPE in August 2019, now HPE Ezmeral Data Fabric.
MapReduce
MapReduce is a programming model introduced by Jeffrey Dean and Sanjay Ghemawat at Google in 2004 for parallel processing of large data sets on clusters of commodity machines.
MARC standards
MARC standards, or Machine-Readable Cataloging, are formats libraries use to store and exchange catalog records between computer systems, developed from a 1960s Library of Congress initiative.
Margin classifier
A margin classifier is a classification model whose decision rule is stated in terms of a margin, the signed distance from a data point to its decision boundary.
MariaDB
MariaDB is an open source relational database forked from MySQL in 2009 by its original author, Michael Widenius, after Oracle announced its acquisition of Sun Microsystems.
Marine predators algorithm
The marine predators algorithm (MPA) is a nature-inspired metaheuristic for numerical and engineering optimization, introduced by Afshin Faramarzi and colleagues in 2020, that models Lévy and Brownian foraging of ocean predators.
Markerless motion capture
Markerless motion capture is a computer vision method that estimates body pose and movement from ordinary video without markers, producing 2D keypoints, 3D skeletal coordinates, and joint angles.
Market basket analysis
Market basket analysis, also called basket analysis, is a data mining method that finds which items are bought together in customer transactions, formulated in 1993.
MarkLogic
MarkLogic, now Progress MarkLogic, is a document-oriented NoSQL database that stores XML, JSON, text, or binary documents, combining database, search indexing, and application server features in one transactional system.
Markov state model
A Markov state model (MSM) is a kinetic model of molecular dynamics that partitions conformational space into discrete states and a transition matrix, built from many short simulations.
Marquez
Marquez is an open source metadata service, reference implementation of OpenLineage, for collecting and visualizing data lineage. Released by WeWork, LF AI & Data Graduated, Java and PostgreSQL based.
Marvin the Paranoid Android
Marvin the Paranoid Android is a gloomy, hyperintelligent robot in Douglas Adams's The Hitchhiker's Guide to the Galaxy, created for the 1978 BBC radio series and voiced by Alan Rickman in the 2005 film.
Maryland v. King
Maryland v. King, 569 U.S. 435 (2013), is a US Supreme Court decision holding that DNA cheek swabs of serious-offense arrestees are a reasonable booking procedure like fingerprinting.
Mask (computing)
A mask, also called a bitmask, is a Boolean array or bit pattern in computing that marks which elements of a data structure to select, ignore, or replace.
Mask R-CNN
Mask R-CNN is a deep learning framework for instance segmentation, extending Faster R-CNN with a branch that predicts a pixel-level mask for each detected object.
Masked autoencoder
A masked autoencoder (MAE) is a self-supervised pretraining method for neural networks that masks about 75% of an image's patches and reconstructs the missing pixels from the visible ones.
Mass surveillance
Mass surveillance: suspicionless collection, analysis, or generation of data on indefinite or large numbers of people, via bulk interception, data retention, facial recognition, and camera networks; distinct from targeted, authorized surveillance of specific suspects.
Master data management
Master data management (MDM) is a technology-enabled business discipline in which business and IT create accurate, consistent master data records, such as customers and products, shared across enterprise systems.
Master theorem (analysis of algorithms)
The master theorem is a result in the analysis of algorithms that gives the asymptotic running time of many divide-and-conquer recurrences, first published by Bentley, Haken, and Saxe in 1980.
mat2vec
mat2vec is a set of 200-dimensional Word2vec embeddings trained on about 3.3 million materials science abstracts by Lawrence Berkeley National Laboratory researchers and published in Nature in 2019.
MatBench
MatBench is a benchmark suite of 13 curated machine learning tasks for predicting properties of inorganic bulk materials, introduced in 2020 by researchers in the Materials Project ecosystem.
Matbench Discovery
Matbench Discovery is a benchmark and interactive leaderboard for evaluating machine learning models that predict the thermodynamic stability of inorganic crystals, simulating high-throughput discovery campaigns.