Machine ethics - Machine ethics is the field concerned with how artificial systems can represent ethical considerations and use them to guide their behavior.
Machine learning - Machine learning is the study and practice of creating systems that learn useful patterns from data or experience to perform a task.
Machine learning as a service - Machine learning as a service is the delivery of ML capability over the internet as a metered product: instead of building models in-house, you call a...
Machine learning control - Machine learning control is the use of machine-learning methods to develop or improve control laws that determine a system's actions from observations.
Machine learning model metadata - Machine learning model metadata is information describing a model and its relevant characteristics.
Machine learning overlay - A machine learning overlay is an architectural arrangement that integrates ML functions with telecommunications network functions through standardized...
Machine Learning Pipeline - A machine learning pipeline is the ordered chain of steps that turns raw data into predictions: collection, cleaning, features, training, evaluation and...
Machine learning profile - A machine learning profile, in ITU-T Y.3187, is the interpreted content of an ML intent together with relevant runtime updates.
Machine learning sandbox - A machine learning sandbox is a controlled environment for training or testing ML models and evaluating their effects.
Machine learning system - A machine learning system is the whole working arrangement around a trained model: data, pipeline, model, serving, monitoring and the people and processes...
Machine learning underlay network - A machine learning underlay network is the telecommunications network, together with its network functions, that interacts with an ML overlay.
Machine perception - Machine perception is the use of computational methods to interpret information from sensors, such as images, sound, depth or touch.
Machine-readable dictionary - A machine-readable dictionary is a dictionary represented electronically so that computer programs can access and process its contents.
Machine-readable document - A machine-readable document is a document whose content is encoded so software can access and process it, rather than relying solely on its visual appearance.
Machine reading - Machine reading is the use of AI to interpret information expressed in text and make it available for tasks such as answering questions, extracting...
Machine translation - Machine translation is the automatic conversion of text or speech content from one human language into another by a computer system.
Macroaveraging - Macroaveraging combines evaluation results by calculating a metric separately for each class or other defined unit and then taking their unweighted...
Macroblock - A macroblock is a coding unit used in several block-based video-compression designs, including H.264/AVC.
Macroprogramming - Macroprogramming is a programming approach that expresses the intended behavior of a collection of computing devices at a system or group level.
Macrops - Macrops are macro-operators: reusable planning structures that package a sequence of actions so a planner can consider the sequence as a larger unit.
Magic set - A magic set is an auxiliary relation used in a logic-program rewriting technique to identify which bindings are relevant to a particular query.
Magnitude of effect - Magnitude of effect describes how large a difference or association is, rather than simply whether it is statistically detectable.
Mahalanobis distance - Mahalanobis distance measures separation between numerical vectors after accounting for a chosen covariance structure.
Mail survey - A mail survey collects information through questionnaires sent to selected respondents by postal mail, usually for them to complete and return themselves.
Main effect - A main effect is the effect of one factor averaged across the levels of other factors in a factorial analysis.
Maintaining Arc Consistency - Maintaining Arc Consistency, often abbreviated MAC, is a constraint-search strategy that restores arc consistency after each decision during backtracking.
Maintenance-free operating period - A maintenance-free operating period, or MFOP, is a specified period during which a system is intended to perform its required functions without maintenance...
Majority class - The majority class is the most frequent outcome in a classification dataset: the 'normal' category that most examples belong to, such as the 97 per cent of...
Majorize-minimize - Majorize-minimize, or MM, is an optimization principle that repeatedly minimizes an upper-bounding surrogate for the objective.
Makespan - Makespan is the time at which all scheduled work has finished, measured from a specified scheduling origin.
Malvar - He - Cutler demosaicking - Malvar - He - Cutler demosaicking is a linear method for estimating missing red, green, and blue values in images captured with a Bayer color filter array.
Malware - Malware is software or related executable logic deliberately designed to perform harmful or unauthorized activity.
Managed private cloud - A managed private cloud is a cloud environment reserved for one organization in which an external provider performs agreed management and maintenance tasks.
Manager agent - A manager agent is an agent that coordinates other agents: it breaks a task into parts, assigns them, checks the results and combines them, the way a team...
Mandatory access control - Mandatory access control, or MAC, is an access-control approach in which a system enforces security policy that ordinary users or resource owners cannot...
Manhattan distance - Manhattan distance is the sum of the absolute coordinate differences between two numerical vectors.
Manifestation shift - Manifestation shift is a change in how a target condition produces the observable physical characteristics used to recognize it.
Manifold alignment - Manifold alignment is a family of methods for relating datasets by aligning their lower-dimensional geometric structure.
Manifold hypothesis - The manifold hypothesis is the idea that many high-dimensional datasets are concentrated near a lower-dimensional structure within the full space of...
Manifold Learning - Manifold learning is a family of methods that seek a lower-dimensional representation of data whose structure may be curved or nonlinear within a...
Manifold regularization - Manifold regularization is a learning framework that encourages a prediction function to vary smoothly along the geometric structure inferred from data.
Manipulation check - A manipulation check is a measurement used in an experiment to assess whether an intervention changed the condition, perception, or psychological state that...
Mann-Whitney U test - The Mann-Whitney U test is a rank-based statistical test for comparing two independent samples.
Manner adverb - A manner adverb describes how an action or process happens. In “the technician worked carefully,” carefully specifies the manner of working.
Manner of articulation - Manner of articulation describes how the vocal tract shapes or restricts airflow when producing a speech sound.