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» Computational Properties of Probabilistic Neural Networks
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AI
1998
Springer
13 years 11 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
CN
2006
99views more  CN 2006»
13 years 7 months ago
P2P reputation management: Probabilistic estimation vs. social networks
Managing trust is a key issue for a wide acceptance of P2P computing, particularly in critical areas such as e-commerce. Reputation-based trust management has been identified in t...
Zoran Despotovic, Karl Aberer
ENTCS
2007
98views more  ENTCS 2007»
13 years 7 months ago
Evaluating Complex MAC Protocols for Sensor Networks with APMC
In this paper we present an analysis of a MAC (Medium Access Control) protocol for wireless sensor networks. The purpose of this protocol is to manage wireless media access by con...
Michaël Cadilhac, Thomas Hérault, Rich...
NECO
2007
129views more  NECO 2007»
13 years 7 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
IPPS
1998
IEEE
13 years 11 months ago
Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques
Abstract. Finding paths in high-dimensional gemetric spaces is a provably hard problem. Recently, a general randomized planning scheme has emerged as an e ective approach to solve ...
David Hsu, Lydia E. Kavraki, Jean-Claude Latombe, ...