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APIN
1999
107views more  APIN 1999»
15 years 2 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
TKDE
2011
176views more  TKDE 2011»
14 years 9 months ago
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems
—This paper proposes a new strategy, the experience transfer, to facilitate the management of large-scale computing systems. It deals with the utilization of management experienc...
Haifeng Chen, Wenxuan Zhang, Guofei Jiang
IDEAL
2003
Springer
15 years 7 months ago
A Two-Stage Bayesian Network for Effective Development of Conversational Agent
Conversational agent is a system that provides user with proper information and maintains the context of dialogue based on natural language. When experts design the network for con...
Jin-Hyuk Hong, Sung-Bae Cho
142
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BMCBI
2008
166views more  BMCBI 2008»
15 years 2 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
COMPSYSTECH
2009
15 years 9 days ago
A Bayesian approach to recognise facial expressions using vector flows
: Facial expressions play an important role in human nonverbal communication. They can be generated by activation and dilatation of facial muscles. In this paper we describe a syst...
Xiaofan Sun, Léon J. M. Rothkrantz, Dragos ...