Real-time AI - Real-time AI is artificial intelligence designed to produce useful decisions or outputs within the timing requirements of its environment.
Real-time business intelligence - Real-time business intelligence is the use of frequently updated data and analysis to support business decisions while the information is still...
Real-time data - Real-time data is data made available soon enough after the underlying event or observation to support its intended immediate use.
Real-time dynamic programming - Real-time dynamic programming, or RTDP, is a method for improving decisions by updating value estimates along trajectories through a decision problem.
Real-Time Machine Learning - Real-time machine learning is the practice of making predictions on live data within tight time budgets, usually milliseconds to seconds, so the answer...
Real-time search - Real-time search is a family of search methods that limit the computation performed before an agent commits to its next action.
Realization - A realization is a particular value taken by a random variable when an outcome of a random experiment is specified or observed.
Realized variance - Realized variance is an ex-post measure of variation calculated by summing squared returns over subintervals within a specified period.
Reasoning - Reasoning is the process of using information, assumptions, and relationships to reach conclusions, evaluate possibilities, or decide what follows.
Reasoning system - A reasoning system is a computational system that derives conclusions, explanations or decisions from represented information using defined inference...
Reassignment method - The reassignment method is a signal-analysis technique that relocates values in a time - frequency or time - scale representation to better estimated...
Recall - Recall is the fraction of actual positive cases that a system correctly identifies as positive.
Recall at k (recall@k) - Recall at k, written recall@k or R@k, is the fraction of a defined set of relevant items that appears among the first k ranked results.
Recall bias - Recall bias is systematic error arising when people inaccurately or incompletely remember and report past events or experiences.
Receptive field - A receptive field is the region of an input that can influence a particular feature or output unit in a neural network.
Receptron - A receptron is a proposed nonlinear threshold computing unit that generalizes the perceptron by allowing effective input weights to depend on the input...
Reciprocal human machine learning - Reciprocal human machine learning, or RHML, is an approach to human - AI collaboration designed so that both the person and the machine improve through...
Reciprocal rank - Reciprocal rank is a retrieval-evaluation score equal to one divided by the position of the first relevant or correct result in a ranked list.
Reciprocity - Reciprocity measures how often directed connections are matched by connections in the reverse direction.
Recombination - Recombination is an evolutionary-computation operation that creates candidate solutions by combining information from parent candidates.
Recommender System - A recommender system selects or orders items that may be useful or relevant to a user in a particular context.
Reconstruction - Reconstruction, in computer vision, is the process of estimating a scene's three-dimensional structure from observations such as photographs.
Reconstruction loss - Reconstruction loss measures how different a model's reconstructed output is from the target it is supposed to reproduce.
Record linkage - Record linkage is the process of deciding which records refer to the same real-world entity across or within datasets.
Recordset - A recordset is a program-accessible collection of records returned or maintained through a data-access interface.
Rectangular grid - A rectangular grid is a two-dimensional arrangement of locations organized into rows and columns.
Rectification - Rectification, in personal-data governance, means correcting inaccurate personal information or completing information that is incomplete for its relevant...
Rectified Gaussian distribution - In the clipped-normal sense used here, a rectified Gaussian distribution is the distribution of Y = max(0, X) when X is Gaussian.
Rectified Linear Unit - A Rectified Linear Unit, usually abbreviated ReLU, is a neural-network activation function defined by ReLU(x) = max(0, x).
Recurrence period density entropy - Recurrence period density entropy, or RPDE, is a time-series measure that summarizes how spread out the observed return times are when a signal's...
Recurrent event analysis - Recurrent event analysis studies events that can occur more than once for the same observational unit over time.
Recurrent Layer - A recurrent layer is a neural-network component that processes a sequence by updating an internal state as it encounters successive inputs.
Recurrent neural network - A recurrent neural network, or RNN, is a neural-network architecture that processes sequential information using a state updated through repeated computations.
Recurrent state space model - A recurrent state space model is a learned sequence model that combines a deterministic recurrent memory with a stochastic latent state.
Recursive best-first search - Recursive best-first search, or RBFS, is a heuristic search algorithm that pursues promising paths while limiting memory use.
Recursive feature elimination - Recursive feature elimination is a feature selection method that trains a model, drops the features it finds least useful, trains again, and repeats until...
Recursive indexing - Recursive indexing is a numerical encoding technique that represents a value outside a small symbol range as a sequence of in-range symbols.
Recursive Language Model - In the supplied ontology's sense, a Recursive Language Model uses recursive neural composition over structured language, such as a syntactic tree, to...
Recursive least squares - Recursive least squares is an algorithm for updating a least-squares parameter estimate as new observations arrive.
Recursive Neural Network - A recursive neural network is a neural model that repeatedly combines representations of smaller components to represent a larger structured object.
Recursive partitioning - Recursive partitioning builds a model by repeatedly dividing a dataset or predictor space into smaller regions.
Recursive self-improvement - Recursive self-improvement is a process in which an AI system contributes to improving itself, and the resulting version participates in further improvement...
Recursive transition network - A recursive transition network, or RTN, represents grammatical rules as connected state diagrams that can call one another.
RED (Regularization by Denoising) - Regularization by Denoising, or RED, is an image-reconstruction framework that uses a denoiser to supply a preference for plausible images while fitting...
Red teaming - Red teaming is a structured, authorized effort to find weaknesses, harmful behaviors, or exploitable failure modes in an AI system.
Redaction - Redaction is the removal or effective withholding of selected information from a version of a document or other content prepared for disclosure.
Reduce (pyramid operator) - Reduce is an image-pyramid operation that creates a smaller, coarser representation of an image, typically by low-pass filtering followed by subsampling.
Reduced vowels - Reduced vowels are vowels pronounced with a less complete articulatory gesture than their full forms.