VACUUM - VACUUM is a data-quality mnemonic referring to a Valid, Accurate, Consistent, Uniform and Unified Model.
Value imputation - Value imputation replaces missing data values with chosen or estimated substitutes.
Variable kernel density estimation - Variable kernel density estimation estimates a probability density using smoothing kernels whose bandwidths vary across observations or locations.
Variational bound integration - Variational bound integration approximates a difficult integral by replacing its integrand with a tractable lower bound and integrating that bound.
Variational bound optimization - Variational bound optimization improves a difficult objective by working with a more tractable bound on it.
Version space learning - Version space learning represents all hypotheses in a chosen hypothesis class that agree with the training examples seen so far.
Virtual intelligence - Virtual intelligence is a broad, context-dependent label for AI used within virtual or augmented environments.
Virtual support vector machine - A virtual support vector machine is an SVM trained using artificial examples that represent transformations expected to preserve a class label.
Voting Classifier - A voting classifier combines predictions from several classification models into one class decision.
Voting Regressor - A voting regressor combines numerical predictions from several regression models, usually by averaging them.
Wake-sleep algorithm - The wake-sleep algorithm trains a probabilistic generative model together with a recognition model by alternating two phases.
Wasserstein GAN - A Wasserstein GAN, or WGAN, is a generative adversarial network trained using an objective based on the Wasserstein-1 distance between distributions.
Weak supervision - Weak supervision trains machine-learning models using supervision that is less complete, precise or reliable than carefully verified labels for every example.
Web intelligence - Web intelligence is a research and application area that combines artificial intelligence with web-related information technologies.
Weight - A weight is a numerical factor that controls how strongly a value contributes to a calculation.
Weight initialization - Weight initialization is the choice of starting values for a neural network's trainable weights before optimization begins.
Weighted majority algorithm (machine learning) - The weighted majority algorithm combines predictions from several experts by assigning each a weight, predicting with the weighted vote and reducing the...
Weighted sum - A weighted sum adds values after multiplying each by an associated weight.
Wetware computer - A wetware computer uses living biological material as part of its information-processing system.
Whitening transformation - A whitening transformation linearly transforms centered numerical data so that its covariance matrix becomes the identity matrix, when the required...
Winner-take-all in action selection - Winner-take-all in action selection is a decision mechanism in which competing action candidates are compared and one is selected to control behavior.
Winnow (algorithm) - Winnow is a family of online linear-threshold learning algorithms that adjust feature weights multiplicatively after prediction errors.
Wisdom of the crowd - Wisdom of the crowd is the idea that combining judgments from multiple contributors can produce a useful collective estimate.
Wishart distribution - The Wishart distribution is a probability distribution over real symmetric positive-semidefinite matrices, with the usual nonsingular form supported on...
Zeuthen strategy - The Zeuthen strategy is a concession strategy for certain formal two-agent negotiation settings.