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» On learning with dissimilarity functions
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ICML
2005
IEEE
14 years 10 months ago
Generalized skewing for functions with continuous and nominal attributes
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
Soumya Ray, David Page
ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
ICML
2005
IEEE
14 years 10 months ago
New kernels for protein structural motif discovery and function classification
We present new, general-purpose kernels for protein structure analysis, and describe how to apply them to structural motif discovery and function classification. Experiments show ...
Chang Wang, Stephen D. Scott
CISIS
2008
IEEE
14 years 3 months ago
Inferring the Function of Genes from Synthetic Lethal Mutations
—Techniques for detecting synthetic lethal mutations in double gene deletion experiments are emerging as powerful tool for analysing genes in parallel or overlapping pathways wit...
Oliver Ray, Christopher H. Bryant
COLT
1998
Springer
14 years 1 months ago
Cross-Validation for Binary Classification by Real-Valued Functions: Theoretical Analysis
This paper concerns the use of real-valued functions for binary classification problems. Previous work in this area has concentrated on using as an error estimate the `resubstitut...
Martin Anthony, Sean B. Holden