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IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
WSC
1997
14 years 11 months ago
1997
This paper studies activity cycle diagrams (ACD) for modeling construction processes using activities as the basic elements. An ACD is obtained by combining the activity cycles of...
NIPS
2007
14 years 11 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
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ECAL
2005
Springer
14 years 11 months ago
2005
Springer
Jakob von Uexk¨ull’s theory of the Umwelt is described and it is used to show how perceptual states can be defined. It is described how perceptual cues are selected over evolut...