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ICMLA
2007
13 years 9 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
CGO
2003
IEEE
14 years 28 days ago
Compiler Optimization-Space Exploration
To meet the performance demands of modern architectures, compilers incorporate an everincreasing number of aggressive code transformations. Since most of these transformations are...
Spyridon Triantafyllis, Manish Vachharajani, Neil ...
AAAI
2008
13 years 10 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
CIKM
2009
Springer
14 years 2 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
KR
1992
Springer
13 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