High-level action - A high-level action is an abstract action that represents a more detailed procedure or a family of possible procedures.
High-pass filter - A high-pass filter attenuates slowly varying components of a signal while retaining or emphasizing more rapidly varying components.
High-performance fuzzy computing - High-performance fuzzy computing refers to applying high-performance computing techniques to computationally demanding fuzzy-system workloads.
High-risk artificial intelligence system - A high-risk artificial intelligence system is an AI system placed in a category requiring stronger safeguards because of its intended use and potential...
High-throughput computing - High-throughput computing (HTC) is an approach to computing that emphasizes completing a large amount of useful work over an extended period.
Higher order interaction - A higher order interaction is a statistical interaction involving three or more predictors or factors.
Higher-order logic - Higher-order logic is a family of formal logics that allow variables to range over functions, predicates, or other structured mathematical entities in...
Higher-order Markov model - A higher-order Markov model predicts the next state of a sequence using more than one preceding state.
Highly adaptive lasso - Highly adaptive lasso, or HAL, is a flexible regression method that represents complex relationships using a large collection of basis functions and...
Highway network - A highway network is a neural-network architecture that uses learned gates to control how information is transformed or carried through layers.
Hilbert space - A Hilbert space is a vector space equipped with an inner product and complete in the distance induced by that inner product.
Hill climbing - Hill climbing is a search method that improves a solution by repeatedly making the small change that helps most right now, stopping when no small change...
Hindsight optimization - Hindsight optimization is a planning approach that evaluates actions by sampling possible future uncertainty and solving the resulting deterministic...
Hinge loss - Hinge loss is a margin-based loss used in classification. For a binary label y in {−1, +1} and a real-valued prediction score s, it is max(0, 1 − ys).
Hinton diagrams - Hinton diagrams display the values in a matrix using squares whose area represents magnitude and whose color represents sign.
Histogram - A histogram displays the distribution of numerical observations by dividing their range into intervals, called bins, and drawing a bar for each interval.
Histogram-Based Gradient Boosting - Histogram-based gradient boosting builds boosted decision trees using binned feature values and aggregated statistics.
Histogram equalization - Histogram equalization remaps image intensities using their cumulative distribution to spread frequently occurring values across more of the available...
Histogram matching - Histogram matching remaps an image's intensity or color values so their distribution resembles a specified reference distribution.
Histogram of oriented displacements - A histogram of oriented displacements is a trajectory descriptor that summarizes movement by accumulating displacement directions into bins.
Historical bias - Historical bias is bias already present in social conditions, institutions, or earlier decisions that becomes reflected in data used by an AI system.
Ho - Kashyap algorithm - The Ho - Kashyap algorithm is an iterative method for solving a system of linear inequalities, with an important application to learning a linear classifier.
Hobbs algorithm - The Hobbs algorithm is a historical, syntax-based method for finding candidate antecedents of pronouns in text.
Hodrick - Prescott filter - The Hodrick - Prescott filter is a time-series smoothing method that separates a series into a smooth trend and a residual commonly called the cycle.
Hoeffding's independence test - Hoeffding's independence test is a nonparametric procedure for assessing whether two random variables are independent, using ranks from paired observations.
HOG feature - A HOG feature, from Histogram of Oriented Gradients, is a way of describing a patch of an image by the directions of its edges, counting how strongly the...
Holdout cross-validation - Holdout cross-validation is an imprecise phrase commonly used for evaluating a model on a held-out portion of data, sometimes repeated across several random...
Holdout data - Holdout data is the portion of available data deliberately kept away from training, reserved to test the finished model on cases it has never seen, so the...
Holdout set - A holdout set is a portion of data deliberately excluded from a specified stage of model development so that predictions can be evaluated on observations...
Holm - Bonferroni method - The Holm - Bonferroni method is a step-down multiple-testing procedure that controls the family-wise error rate: the probability of rejecting at least one...
Holt-Winters forecasting - Holt-Winters forecasting is a family of exponential-smoothing methods that represents a time series through level, trend, and repeating seasonal components.
Homogeneity of regression - Homogeneity of regression usually means equality of the covariate regression slopes across groups in a common-slope analysis of covariance model.
Homogeneity of variance - Homogeneity of variance is the condition that the populations or model-error distributions being compared have the same variance.
Homogeneity of variance in arrays - Homogeneity of variance in arrays is the condition that the variance of an outcome Y is the same at different values of a predictor X.
Homography transformation - A homography transformation is a projective mapping between two planes, commonly represented by an invertible three-by-three matrix in homogeneous coordinates.
Homomorphic filtering - Homomorphic filtering is a signal-processing approach that transforms a combination of signal components into a form where filtering is easier.
Homonymy - Homonymy is the relationship between distinct meanings that share a word form but are not treated as meaningfully related in the analysis being used.
Homophones - Homophones are words that share a pronunciation while differing in meaning, and often in spelling.
Homoscedasticity - Homoscedasticity means that an error or outcome distribution has the same variance across the conditions being considered.
Hopfield Network - A Hopfield network is a recurrent neural model that stores patterns through its connection weights and retrieves them by allowing an initial state to evolve...
Hopscotch hashing - Hopscotch hashing is a hash-table technique that keeps each stored entry within a small neighborhood of its home bucket.
Horizon effect - The horizon effect is a problem in limited-depth search where an important consequence lies beyond the search cutoff and is therefore misjudged.
Horizontal federated learning - Horizontal federated learning is collaborative model training across participants that hold different examples described using a compatible feature space...
Horn clause - A Horn clause is a disjunction of literals containing at most one positive literal.
Horn - Schunck - Horn - Schunck is a classical method for estimating dense optical flow, the apparent motion of image brightness patterns between frames.
Horner's method - Horner's method evaluates a polynomial by rewriting it as nested multiplication and addition.
Horseshoe distribution - The horseshoe distribution is a continuous probability distribution commonly used as a Bayesian shrinkage prior for sparse signals or coefficients.
Horvitz - Thompson estimator - The Horvitz - Thompson estimator estimates a finite population total by summing each sampled unit's observed value divided by its probability of inclusion.