close
1.

電子ブック
ＥＢ
1. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation : Aspects Concerning Feature Selection
by Florentina T. Hristea
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-33693-5
所蔵情報: loading…
目次情報: 続きを見る
1.Preliminaries
2.The Naïve Bayes Model in the Context of Word Sense Disambiguation
3.Semantic WordNet-based Feature Selection
4.Syntactic Dependency-based Feature Selection
5.N-Gram Features for Unsupervised WSD with an Underlying Naïve Bayes Model References
Index.
1.Preliminaries
2.The Naïve Bayes Model in the Context of Word Sense Disambiguation
3.Semantic WordNet-based Feature Selection
2.

電子ブック
ＥＢ
2. Normal and Student´s t Distributions and Their Applications
by Mohammad Ahsanullah, B.M. Golam Kibria, Mohammad Shakil
出版情報: Paris : Atlantis Press : Imprint: Atlantis Press, 2014
シリーズ名: Atlantis Studies in Probability and Statistics ; 4
オンライン: http://dx.doi.org/10.2991/978-94-6239-061-4
所蔵情報: loading…
目次情報: 続きを見る
Introduction
Normal Distributions
Student’s Distributions
Sum, Product & Ratio for the Normal Random Variables
Sum, Product & Ratio for the Student’s Random Variables
Sum, Product & Ratio for the Normal and Student’s Random Variables
Product of the Normal and Student’s Densities
Characterizations of Normal Distributions
Characterizations of Student’s Distributions
Concluding Remarks
Introduction
Normal Distributions
Student’s Distributions