1340 search results - page 112 / 268 » Structure learning of Bayesian networks using constraints |
158
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JCB
2007
15 years 3 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
163
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NIPS
2000
15 years 5 months ago
2000
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
138
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ISNN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
138
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ICDAR
2003
IEEE
15 years 9 months ago
2003
IEEE
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
147
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...