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ML
2002
ACM
167views Machine Learning» more  ML 2002»
15 years 2 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
APIN
2004
116views more  APIN 2004»
15 years 2 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
RAS
2010
117views more  RAS 2010»
15 years 28 days ago
Direct programming of a central pattern generator for periodic motions by touching
Much of the literature shows that Central Pattern Generators (CPGs) are a good approach for generating periodic motions for legged robots. In most of the presented works the numer...
Fabio Dalla Libera, Takashi Minato, Hiroshi Ishigu...
EDCC
2005
Springer
15 years 8 months ago
PathCrawler: Automatic Generation of Path Tests by Combining Static and Dynamic Analysis
Abstract. We present the PathCrawler prototype tool for the automatic generation of test-cases satisfying the rigorous all-paths criterion, with a user-defined limit on the number...
Nicky Williams, Bruno Marre, Patricia Mouy, Muriel...
142
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QOFIS
2004
Springer
15 years 7 months ago
Survivable Online Routing for MPLS Traffic Engineering
Traffic engineering capabilities defined in MPLS enables QoS online routing of LSPs. In this paper we address issues of network survivability in online routing. We define a new lin...
Krzysztof Walkowiak