872 search results - page 163 / 175 » Hybrid Learning Scheme for Data Mining Applications |
RSFDGRC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
WIDM
2012
ACM
12 years 3 months ago
2012
ACM
Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
MMS
2008
13 years 7 months ago
2008
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
We study in this paper the Web forum crawling problem, which is a very fundamental step in many Web applications, such as search engine and Web data mining. As a typical user-crea...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...