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GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 8 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
ICPR
2008
IEEE
16 years 8 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
ICNSC
2007
IEEE
16 years 1 months ago
Designing an Implementable User-Oriented Objective Function for MANETs
Communication networks are usually managed with network-oriented objectives such as throughput and latency. However, in military networks, these objectives are inappropriate; inst...
Karen Zita Haigh, Olu Olofinboba, Choon Yik Tang
PPSN
1994
Springer
15 years 11 months ago
A Cooperative Coevolutionary Approach to Function Optimization
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
Mitchell A. Potter, Kenneth A. De Jong
WWW
2008
ACM
16 years 7 months ago
Recommending questions using the mdl-based tree cut model
The paper is concerned with the problem of question recommendation. Specifically, given a question as query, we are to retrieve and rank other questions according to their likelih...
Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, H...