Sciweavers

6715 search results - page 22 / 1343
» Learning from a Test Set
Sort
View
BMCBI
2008
166views more  BMCBI 2008»
13 years 8 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
APIN
2004
116views more  APIN 2004»
13 years 8 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
ECML
1993
Springer
14 years 16 days ago
Exploiting Context When Learning to Classify
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
Peter D. Turney
ICIAR
2005
Springer
14 years 1 months ago
Machine-Learning-Based Image Categorization
In this paper, a novel and efficient automatic image categorization system is proposed. This system integrates the MIL-based and global-featurebased SVMs for categorization. The IP...
Yutao Han, Xiaojun Qi
ICSE
2004
IEEE-ACM
14 years 8 months ago
Automated Generation of Test Programs from Closed Specifications of Classes and Test Cases
Most research on automated specification-based software testing has focused on the automated generation of test cases. Before a software system can be tested, it must be set up ac...
Wee Kheng Leow, Siau-Cheng Khoo, Yi Sun