gt classifier
61Classification naïve bayesienne — La classification naïve bayésienne est un type de classification Bayésienne probabiliste simple basée sur le théorème de Bayes avec une forte indépendance (dite naïve) des hypothèses. Elle met en œuvre un classifieur bayésien naïf, ou classifieur …
62Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …
63Count noun — In linguistics, a count noun (also countable noun) is a common noun that can be modified by a numeral and that occurs in both singular and plural form, as well as co occurring with quantificational determiners like every, each, several, etc. A… …
64Face detection — is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and bodies. Definition and relation to other tasks Face… …
65Prior 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… …
66BrownBoost — is a boosting algorithm that may be robust to noisy datasets. BrownBoost is an adaptive version of the boost by majority algorithm. As is true for all boosting algorithms, BrownBoost is used in conjunction with other machine learning methods.… …
67Web query classification — Web query topic classification/categorization is a problem in information science. The task is to assign a Web search query to one or more predefined categories, based on its topics. The importance of query classification is underscored by many… …
68Random naive Bayes — extends the Naive Bayes classifier by adopting the random forest principles: random input selection (bagging, i.e. bootstrap aggregating) and random feature selection ( [Breiman, 2001] ). Naive Bayes classifier Naive Bayes is a probabilistic… …
69Tai languages — Family of closely related languages spoken in Southeast Asia and southern China by more than 80 million people. According to a widely used classification, Tai comprises three branches. The Southwestern group includes Thai, the national language… …
70Classification 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 …
