1340 search results - page 190 / 268 » Structure learning of Bayesian networks using constraints |
143
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JCP
2007
15 years 4 months ago
2007
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
140
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AR
2007
15 years 4 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
131
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NIPS
2001
15 years 6 months ago
2001
This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Enti...
143
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ICDM
2008
IEEE
15 years 11 months ago
2008
IEEE
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
127
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ESM
2000
15 years 6 months ago
2000
Blocking probabilities in Wavelength Division Multiplex optical networks are hard to compute for realistic sized systems, even though analytical formulas for the distribution exis...