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WETICE
1998
IEEE
14 years 23 days ago
A Framework for Adaptive Process Modeling and Execution (FAME)
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust meth...
Perakath C. Benjamin, Madhav Erraguntla, Richard J...
BMCBI
2007
134views more  BMCBI 2007»
13 years 8 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
FSS
2008
134views more  FSS 2008»
13 years 8 months ago
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
In the field of classification problems, we often encounter classes with a very different percentage of patterns between them, classes with a high pattern percentage and classes w...
Alberto Fernández, Salvador García, ...
ACL
2009
13 years 6 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
ACCV
2006
Springer
13 years 10 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas