Coupled Pattern Learner is a machine learning algorithm which couples the semi-supervised learning of categories and relations to forestall the problem of semantic drift associated with boot-strap learning methods.
Compositional pattern-producing networks are a variation of artificial neural networks that have an architecture whose evolution is guided by genetic algorithms. While ANNs often contain only sigmoid functions and sometimes...
K-optimal pattern discovery is a data mining technique that provides an alternative to the frequent pattern discovery approach that underlies most association rule learning techniques. Frequent pattern discovery techniques find...
Common spatial pattern is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows.
The ABACABA pattern is a recursive fractal pattern that shows up in many places in the real world. Patterns often show a DABACABA type subset. AA, ABBA, and ABAABA type...
A debugging pattern describes a generic set of steps to rectify or correct a bug within a software system. It is a solution to a recurring problem that is related...
Rigorous coupled-wave analysis is a semi-analytical method in computational electromagnetics that is most typically applied to solve scattering from periodic dielectric structures. It is a Fourier-space method so devices and...
Pattern-of-life analysis is a method of surveillance specifically used for documenting or understanding a subject's habits. This form of observation is generally done without the consent of the subject, with...
Canonical Protocol is a design pattern, applied within the service-orientation design paradigm, which attempts to make services, within a service inventory, interoperable with each other by standardizing the communication protocols...
