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» Learning When to Use Lazy Learning in Constraint Solving
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KR
1992
Springer
15 years 7 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 10 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 8 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
125
Voted
ICSE
2008
IEEE-ACM
16 years 4 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 9 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,...