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111
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ICPR
2006
IEEE
16 years 1 months ago
A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification
Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In ...
Yi-Hsiang Chao, Wei-Ho Tsai, Hsin-Min Wang, Ruei-C...
92
Voted
ICML
2000
IEEE
16 years 1 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
96
Voted
ICSE
2003
IEEE-ACM
16 years 27 days ago
The Deployer's Problem: Configuring Application Servers for Performance and Reliability
Frameworks such as J2EE are designed to simplify the process of developing enterprise applications by handling much of the complexity of concurrency, transaction, and persistence ...
Mukund Raghavachari, Darrell Reimer, Robert D. Joh...
118
Voted
ISNN
2009
Springer
15 years 7 months ago
Use of Ensemble Based on GA for Imbalance Problem
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
Laura Cleofas, Rosa Maria Valdovinos, Vicente Garc...
88
Voted
BIBE
2007
IEEE
134views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
Bottom-Up Multiple Row Addition Algorithms for the Biclustering-Problem
Abstract—The discovery of locally and significantly correlated subpatterns within a two-dimensional dataset has recently become quite popular and is amongst others addressed by ...
Hyung-Won Koh, Lars Hildebrand