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ICML
2005
IEEE
16 years 7 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
16 years 25 days ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
ICSM
2005
IEEE
15 years 12 months ago
An Empirical Comparison of Test Suite Reduction Techniques for User-Session-Based Testing of Web Applications
Automated cost-effective test strategies are needed to provide reliable, secure, and usable web applications. As a software maintainer updates an application, test cases must accu...
Sara Sprenkle, Sreedevi Sampath, Emily Gibson, Lor...
HICSS
2002
IEEE
165views Biometrics» more  HICSS 2002»
15 years 11 months ago
ITI as Enabler of Knowledge Management: Empirical Perspective from Research Organisations in Sub-Saharan Africa
Information technology infrastructure (ITI) is said to play a significant role in knowledge management (KM) efforts. Yet, there is little research that focuses on how availability...
Adekunle Okunoye, Helena Karsten
APBC
2003
116views Bioinformatics» more  APBC 2003»
15 years 7 months ago
An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
Aik Choon Tan, David Gilbert