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KR
1992
Springer
15 years 11 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
DIS
2003
Springer
16 years 24 days ago
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
Sanghoon Lee, Jihoon Yang, Kyung-Whan Oh
INFOCOM
1997
IEEE
15 years 11 months ago
QoS-based Routing in Networks with Inaccurate Information: Theory and Algorithms
We investigate the problem of routing connections with QoS requirements across one or more networks, when the information available for making routing decisions is inaccurate and ...
Roch Guérin, Ariel Orda
ESANN
2000
15 years 9 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
IPPS
2005
IEEE
16 years 1 months ago
Improving and Stabilizing Parallel Computer Performance Using Adaptive Backfilling
The scheduler is a key component in determining the overall performance of a parallel computer, and as we show here, the schedulers in wide use today exhibit large unexplained gap...
David Talby, Dror G. Feitelson