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LPAR
2005
Springer
14 years 2 months ago
Another Complete Local Search Method for SAT
Local search algorithms are one of the effective methods for solving hard combinatorial problems. However, a serious problem of this approach is that the search often traps at loca...
Haiou Shen, Hantao Zhang
CP
2006
Springer
14 years 12 days ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
WWW
2005
ACM
14 years 9 months ago
Improving Web search efficiency via a locality based static pruning method
The unarguably fast, and continuous, growth of the volume of indexed (and indexable) documents on the Web poses a great challenge for search engines. This is true regarding not on...
Edleno Silva de Moura, Célia Francisca dos ...
WWW
2009
ACM
14 years 9 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
CEC
2008
IEEE
14 years 3 months ago
Multiple trajectory search for Large Scale Global Optimization
—In this paper, the multiple trajectory search (MTS) is presented for large scale global optimization. The MTS uses multiple agents to search the solution space concurrently. Eac...
Lin-Yu Tseng, Chun Chen