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» Using Machine Learning to Support Debugging with Tarantula
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112
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FLAIRS
2001
15 years 3 months ago
Improvement of Nearest-Neighbor Classifiers via Support Vector Machines
Theoretically well-founded, Support Vector Machines (SVM)are well-knownto be suited for efficiently solving classification problems. Althoughimprovedgeneralization is the maingoal...
Marc Sebban, Richard Nock
ICIC
2007
Springer
15 years 8 months ago
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
Julio César Tovar, Wen Yu, Xiaoou Li
133
Voted
ICPADS
2006
IEEE
15 years 8 months ago
Flexible, Low-overhead Event Logging to Support Resource Scheduling
Flexible resource management and scheduling policies require detailed system-state information. Traditional, monolithic operating systems with a centralized kernel derive the requ...
Jan Stoess, Volkmar Uhlig
ECTEL
2007
Springer
15 years 8 months ago
Integration in Generic Tool Learning Design to Support Complex Learning Methodologies
: Current learning modelling languages do not allow formalization of scripts where generic tools are required. This limitation is especially relevant on remote courses when using c...
Luis de la Fuente Valentín
124
Voted
ML
2007
ACM
144views Machine Learning» more  ML 2007»
15 years 1 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt