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ECAI
2006
Springer
13 years 11 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
DAWAK
2008
Springer
13 years 9 months ago
Mining Multidimensional Sequential Patterns over Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
Chedy Raïssi, Marc Plantevit
ICWS
2008
IEEE
13 years 9 months ago
An Adaptive Service Selection Approach to Service Composition
In service computing, the behavior of a service may evolve. When an organization develops a service-oriented application in which certain services are provided by external partner...
Lijun Mei, Wing Kwong Chan, T. H. Tse
IJCAI
2007
13 years 9 months ago
Mechanism Design with Partial Revelation
Classic direct mechanisms require full type (or utility) revelation from participating agents, something that can be very difficult in practical multi-attribute settings. In this...
Nathanael Hyafil, Craig Boutilier