Hosmer - Lemeshow test - The Hosmer-Lemeshow test is a grouped goodness-of-fit test commonly used with binary logistic regression.
Hostile Attribution Bias - Hostile Attribution Bias is the tendency to interpret another person's benign or ambiguous behavior as hostile.
Hot deck imputation - Hot deck imputation fills a missing value using an observed value from a suitable donor record in the same current dataset or survey collection.
Hot languages - Hot languages is a label used in some linguistic discussions for languages that tend to express referents more explicitly, rather than leaving many...
Hotelling's t-squared statistic - Hotelling's t-squared statistic, conventionally written T-squared or T^2, measures a multivariate departure while accounting for covariance among variables.
Hough transform - The Hough transform detects parameterized shapes by letting image evidence vote for possible shape parameters.
HTTPRange-14 - HTTPRange-14 is the name of a historical World Wide Web Consortium Technical Architecture Group issue about what HTTP identifiers can identify and how...
Hub - A hub is a node that connects to other nodes in a way that makes it useful for navigating a network.
Huber regression - Huber regression fits a regression model using a loss that is quadratic for small residuals and linear for sufficiently large residuals.
Huffman encoding - Huffman encoding is a lossless compression method that assigns shorter codewords to more frequent symbols and longer codewords to less frequent symbols.
Human - AI interaction - Human - AI interaction is the study and design of how people communicate, collaborate and make decisions with AI systems.
Human-based evolutionary computation - Human-based evolutionary computation uses people's contributions within an evolutionary search process to create, modify, combine or evaluate candidate...
Human-centered AI - Human-centered AI is an approach to designing and operating AI around people's needs, capabilities, values and responsibilities.
Human-cognitive bias - Human-cognitive bias is a systematic tendency in how people notice, interpret, remember, or judge information that can influence decisions about AI systems...
Human-computer interaction - Human-computer interaction, or HCI, is the study and design of how people interact with computing systems.
Human evaluation - Human evaluation is the assessment of an AI system's outputs or behavior by people using a defined task and judgment procedure.
Human-in-the-loop - Human-in-the-loop describes an AI workflow in which people provide input, judgment, correction or approval at defined points that influence the system's...
Human-level AI - Human-level AI is a term for artificial intelligence whose abilities are comparable to human abilities under a specified comparison.
Human-machine teaming - Human-machine teaming is an arrangement in which people and automated systems coordinate their contributions toward a shared task or objective.
Human-operator-intervention - Human-operator intervention is a person's action or input to help an otherwise autonomous system handle an exceptional situation or complete a task.
Human - robot collaboration - Human - robot collaboration is coordinated activity in which people and robots contribute to a shared task or goal.
Human system integration - Human system integration is the deliberate inclusion of people's capabilities, limitations, tasks, and working conditions in the design and operation of a...
Hungarian algorithm - The Hungarian algorithm solves a linear assignment problem by finding a one-to-one pairing with minimum total cost.
Hurdle model - A hurdle model describes an outcome using one component for whether it is zero or positive and another for its size once it is positive.
Hybrid agent - A hybrid agent combines two or more decision styles in one agent, typically fast reactive rules for routine situations and slower deliberative reasoning for...
Hybrid architecture - A hybrid architecture is an agent design that combines different approaches to control, typically reactive behavior and deliberative planning.
Hybrid Bayesian network - A hybrid Bayesian network is a Bayesian network containing both discrete and continuous random variables.
Hybrid cloud storage - Hybrid cloud storage combines storage in an organization's local environment with cloud storage as part of a connected operating arrangement.
Hybrid generative-discriminative training - Hybrid generative-discriminative training combines learning about the distribution of data with learning to predict a target from inputs.
Hybrid intelligent system - A hybrid intelligent system combines two or more different AI or computational-intelligence approaches within one problem-solving system.
Hybrid Kohonen self-organizing map - A hybrid Kohonen self-organizing map is a model that combines a Kohonen self-organizing map, or SOM, with another learning, prediction, optimization, or...
Hybrid machine translation - Hybrid machine translation combines different translation approaches within one system or workflow.
Hyper basis function network - A hyper basis function network is a generalization of a radial basis function network that allows a more flexible measure of distance around its...
Hyper-parameter - A hyper-parameter is a setting chosen before training that controls how the model learns, rather than something the model learns from the data itself: how...
Hypercube (communication pattern) - A hypercube communication pattern organizes exchanges between computing processes as if the processes occupied the corners of a multidimensional cube.
Hyperdimensional computing - Hyperdimensional computing is a family of methods that represent information using very high-dimensional distributed vectors and manipulate those vectors...
Hypergeometric distribution - The hypergeometric distribution gives the number of items of a specified type in a fixed-size simple random sample drawn without replacement from a finite...
Hyperjacking - Hyperjacking is malicious control or subversion of a hypervisor, the software layer that manages virtual machines.
Hyperlapse - A hyperlapse is a time-compressed visual sequence in which the camera moves through space while the resulting view is kept reasonably smooth.
Hypernym - A hypernym is a word sense or concept that is more general than another, covering a broader category to which the more specific concept belongs.
Hyperplane - A hyperplane is a flat boundary that divides the space of inputs into two sides, the geometric object a linear classifier learns: points on one side get one...
Hyperprior - A hyperprior is a prior distribution placed on a parameter that controls another prior distribution.
Hyperspectral image - A hyperspectral image records a spectrum across many narrow, typically contiguous wavelength bands at each spatial location.
Hypertabastic survival models - Hypertabastic survival models are parametric time-to-event models built from the hypertabastic probability distribution introduced by Tabatabai and...
Hypertext Transfer Protocol - Hypertext Transfer Protocol, or HTTP, is the application-level request-and-response protocol family used to communicate with web resources and many online...
Hypothesis - A hypothesis is a candidate claim, explanation, or model considered in relation to evidence.
Hypothesis class approximation error - Hypothesis class approximation error is the limitation imposed by restricting prediction to a particular family of functions.