Attribute-based access control - Attribute-based access control, or ABAC, is an approach to authorization that evaluates attributes of the requester, the resource, the requested operation...
Attribute-based extraction - Attribute-based extraction is the identification of selected properties, such as price, date or color, in source material and their conversion into...
Attribute Preservation Property - The attribute preservation property requires the relation schemas in a decomposition to contain, collectively, every attribute of the original relation schema.
Attribute sampling - Attribute sampling is a decision-tree training technique that randomly selects a subset of input features to consider when choosing a split.
Attribute - value system - An attribute - value system represents a collection of objects through named attributes and their values.
Attributional calculus - Attributional calculus is a logic and knowledge-representation language developed by Ryszard S.
AUC (Area under the ROC curve) - AUC, when specified as area under the ROC curve, summarizes how well prediction scores separate positive from negative examples across decision thresholds.
Auction algorithm - The auction algorithm is an optimization method that solves assignment problems through a sequence of bids and price updates.
Audio codec - An audio codec is a method, together with an implementation of that method, for encoding and decoding digital audio.
Audio inpainting - Audio inpainting is the reconstruction of missing or damaged parts of an audio signal using information from the available recording and a model of...
Audio mining - Definition: Audio mining is the computational search and analysis of audio collections to find useful content, events or patterns.
Audio-visual speech recognition - Definition: Audio-visual speech recognition, or AVSR, identifies spoken words using both the acoustic signal and visual evidence of speech production...
Audit log - An audit log is a record of selected system events and activities that provides evidence for later review.
Augmentation Rule - The augmentation rule is a basic inference rule for functional dependencies in relational database theory.
Augmented grammar - An augmented grammar is a grammar extended with information or conditions beyond simple phrase-building rules.
Augmented inverse probability weighting - Augmented inverse probability weighting, or AIPW, is a causal estimation approach that combines outcome predictions with corrections weighted by treatment...
Augmented Lagrangian - An augmented Lagrangian is an optimization function that combines the original objective, multiplier terms for constraints and an additional penalty for...
Augmented reality - Augmented reality, or AR, overlays computer-generated images, text or information onto a live view of the real world, usually through a phone, tablet or...
Aumann's agreement theorem - Aumann's agreement theorem states that two Bayesian agents with a common prior must assign the same posterior probability to an event if those posterior...
Authenticity - Authenticity is the property of being genuine with respect to a stated origin or identity.
Author name disambiguation - Author name disambiguation identifies which author mentions in publication records refer to the same person.
Authority - In link analysis, an authority is a page or node that receives strong endorsement through incoming links from useful hub nodes.
Authorship attribution - Authorship attribution is the task of estimating who wrote a text by comparing it with writing associated with candidate authors.
Auto-regressive model - An auto-regressive model predicts or models the next element of a sequence using earlier elements of that sequence.
Autocommit - Autocommit is a database connection or session mode in which successful statements are normally committed automatically, without the application separately...
Autocorrelated errors - Autocorrelated errors are model errors that are correlated with errors at other times or ordered positions.
Autocorrelation - Autocorrelation is the correlation between a variable and a time-shifted version of itself.
Autocorrelation function - The autocorrelation function, or ACF, gives a time series' autocorrelation across different lags.
Autoencoder - An autoencoder is a neural network trained to reconstruct an input from an internal representation of that input.
Autognostics - Autognostics is an uncommon term used in discussions of autonomic networking for a network's ability to monitor and diagnose its own condition and use that...
Autologistic actor attribute models - Autologistic actor attribute models, or ALAAMs, are statistical models for binary attributes of actors connected by a network.
Automated decision-making - Automated decision-making uses a computer system to determine an action or outcome according to rules, model outputs, or both.
Automated essay scoring - Definition: Automated essay scoring, or AES, uses computational methods to estimate scores for written essays according to an assessment framework.
Automated negotiation - Automated negotiation is a process in which software agents exchange, assess or revise proposals to seek an agreement under defined rules.
Automated reasoning - Automated reasoning is the use of computer procedures to derive conclusions, find satisfying assignments or establish contradictions from formally...
Automatic acquisition of lexicon - Definition: Automatic acquisition of a lexicon is the computational construction or expansion of structured lexical entries from language data.
Automatic assembly sequencing - Automatic assembly sequencing is the computer-assisted determination of an order for joining parts into a finished product.
Automatic clustering algorithms - Automatic clustering algorithms are methods that form groups in unlabeled data while determining the number of groups through a procedure rather than...
Automatic differentiation - Automatic differentiation, often shortened to autodiff or AD, computes derivatives of functions expressed as computer programs by combining derivative rules...
Automatic differentiation variational inference - Automatic differentiation variational inference, or ADVI, is a method for automating approximate Bayesian inference in differentiable probabilistic models.
Automatic evaluation - Automatic evaluation uses software to assess a model, its outputs, or an AI-enabled process according to specified tests or scoring rules.
Automatic mutual exclusion - Automatic Mutual Exclusion, or AME, is a concurrent programming model proposed by Michael Isard and Andrew Birrell in 2007.
Automatic parallelization - Automatic parallelization is the transformation of a program so that suitable work can run concurrently without the programmer manually organizing every...
Automatic Speech Recognition - Automatic Speech Recognition, or ASR, is technology that converts spoken audio into written text, so that machines can transcribe, search or act on what...
Automatic taxonomy construction - Definition: Automatic taxonomy construction uses computational methods to build or expand a hierarchy of concepts from text or other evidence.
Automatic vectorization - Automatic vectorization is a compiler optimization that converts suitable scalar operations into vector operations.
Automatic white balance (AWB) - Automatic white balance, or AWB, estimates the color influence of scene illumination and adjusts an image's color balance accordingly.