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» Is Combining Classifiers Better than Selecting the Best One
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ICANN
2003
Springer
14 years 3 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho
QSIC
2007
IEEE
14 years 4 months ago
Learning Effective Oracle Comparator Combinations for Web Applications
Web application testers need automated, effective approaches to validate the test results of complex, evolving web applications. In previous work, we developed a suite of automate...
Sara Sprenkle, Emily Hill, Lori L. Pollock
ESWA
2008
102views more  ESWA 2008»
13 years 10 months ago
Hierarchical classifier with overlapping class groups
In this paper a novel complex classifier architecture is proposed. The architecture has a hierarchical tree-like structure with simple artificial neural networks (ANNs) at each no...
Igor T. Podolak
SIGMOD
1996
ACM
112views Database» more  SIGMOD 1996»
14 years 2 months ago
Performance Tradeoffs for Client-Server Query Processing
The constructionof high-performance databasesystems that combine the best aspects of the relational and object-oriented approaches requires the design of client-server architectur...
Michael J. Franklin, Björn Þór J...
BMCBI
2010
190views more  BMCBI 2010»
13 years 10 months ago
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
Background: It is well known that most of the binding free energy of protein interaction is contributed by a few key hot spot residues. These residues are crucial for understandin...
Jun-Feng Xia, Xing-Ming Zhao, Jiangning Song, De-S...