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IJCNN
2007
IEEE
15 years 8 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— 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...
Hong Zeng, Yiu-ming Cheung
126
Voted
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 9 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
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...
Tobias Jung, Peter Stone
WSC
1997
15 years 3 months ago
A Conceptual Activity Cycle-Based Simulation Modeling Method
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...
Jingsheng Shi
NIPS
2007
15 years 3 months ago
Discriminative Batch Mode Active Learning
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...
Yuhong Guo, Dale Schuurmans
ECAL
2005
Springer
15 years 4 months ago
From the Inside Looking Out: Self Extinguishing Perceptual Cues and the Constructed Worlds of Animats
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...
Ian Macinnes, Ezequiel A. Di Paolo