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93
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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 3 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
SAIG
2000
Springer
15 years 2 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
89
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CCR
2000
96views more  CCR 2000»
14 years 10 months ago
Decentralized optimal traffic engineering in the internet
Distributed optimal traffic engineering in the presence of multiple paths has been found to be a difficult problem to solve. In this paper, we introduce a new approach in an attem...
Constantino M. Lagoa, Hao Che
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 11 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
HIS
2007
15 years 11 days ago
Exploration of Pareto Frontier Using a Fuzzy Controlled Hybrid Line Search
This paper proposes a new approach for multicriteria optimization which aggregates the objective functions and uses a line search method in order to locate an approximate efficien...
Crina Grosan, Ajith Abraham