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ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 2 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
154
Voted
DASFAA
2007
IEEE
172views Database» more  DASFAA 2007»
15 years 9 months ago
Optimizing Multiple In-Network Aggregate Queries in Wireless Sensor Networks
Abstract. In this paper, we explore the feature of sharing partial results of multiple queries to reduce the total number of messages incurred. Those queries sharing their partial ...
Huei-You Yang, Wen-Chih Peng, Chia-Hao Lo
NAR
1998
86views more  NAR 1998»
15 years 2 months ago
Pfam: multiple sequence alignments and HMM-profiles of protein domains
Pfam contains multiple alignments and hidden Markov model based profiles (HMM-profiles) of complete protein domains. The definition of domain boundaries, family members and alignm...
Erik L. L. Sonnhammer, Sean R. Eddy, Ewan Birney, ...
MCS
2007
Springer
15 years 8 months ago
Index Driven Combination of Multiple Biometric Experts for AUC Maximisation
A biometric system produces a matching score representing the degree of similarity of the input with the set of templates for that user. If the score is greater than a prefixed th...
Roberto Tronci, Giorgio Giacinto, Fabio Roli
144
Voted
MCS
2005
Springer
15 years 8 months ago
Mixture of Gaussian Processes for Combining Multiple Modalities
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard