pattern classifier

См. также в других словарях:

• Classifier (mathematics) — In mathematics, a classifier is a mapping from a (discrete or continuous) feature space X to a discrete set of labels Y .Classifiers may either be fixed classifiers or learning classifiers, and learning classifiers may in turn be divided into… …   Wikipedia

• Prior knowledge for pattern recognition — Pattern recognition is a very active field of research intimately bound to machine learning. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input… …   Wikipedia

• Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… …   Wikipedia

• Linear classifier — In the field of machine learning, the goal of classification is to group items that have similar feature values, into groups. A linear classifier achieves this by making a classification decision based on the value of the linear combination of… …   Wikipedia

• Hierarchical classifier — A hierarchical classifier is a method of classifying inputs into defined output categories. The classification occurs first on a low level with highly specific pieces of input data. The classifications of the individual pieces of data are then… …   Wikipedia

• Jeff Hawkins — (born June 1, 1957 in Huntington, New York) is the founder of Palm Computing (where he invented the Palm Pilot) [Jeff Hawkins, On Intelligence , p.28] and Handspring (where he invented the Treo). [Jeff Hawkins, On Intelligence , p.1] He has since …   Wikipedia

• Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… …   Wikipedia

• Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on …   Wikipedia

• Classification in machine learning — See also: Pattern recognition This section needs integrating with Statistical classification (Discuss). Integration means cross linking and distinguishing (to/from each other), or sometimes merging (if consensus suggests). In machine learning and …   Wikipedia

• Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …   Wikipedia

• Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… …   Wikipedia