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» Learning When to Use Lazy Learning in Constraint Solving
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KR
1992
Springer
15 years 1 months ago
Intelligent Backtracking Techniques for Job Shop Scheduling
This paper studies a version of the job shop scheduling problem in which some operations have to be scheduled within non-relaxable time windows i.e. earliest latest possible start...
Yalin Xiong, Norman M. Sadeh, Katia P. Sycara
MCS
2009
Springer
15 years 4 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou
HAIS
2009
Springer
15 years 2 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
ICSE
2008
IEEE-ACM
15 years 10 months ago
Best practices in extreme programming course design
Teaching (and therefore learning) eXtreme Programming (XP) in a university setting is difficult because of course time limitations and the soft nature of XP that requires first-ha...
Kai Stapel, Daniel Lübke, Eric Knauss
MIR
2006
ACM
267views Multimedia» more  MIR 2006»
15 years 3 months ago
Matching slides to presentation videos using SIFT and scene background matching
We present a general approach for automatically matching electronic slides to videos of corresponding presentations for use in distance learning and video proceedings of conferenc...
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat,...