2363 search results - page 71 / 473 » Learning Algorithms for Domain Adaptation |
PPSN
2000
Springer
15 years 3 months ago
2000
Springer
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
112
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CEC
2010
IEEE
15 years 29 days ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
IJAR
2007
14 years 11 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
IROS
2007
IEEE
15 years 6 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
158
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....