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EDM
2010
165views Data Mining» more  EDM 2010»
13 years 9 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy
ENC
2004
IEEE
13 years 11 months ago
A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
Manuel Martínez-Morales, Ramiro Garza-Dom&i...
AP2PC
2003
Springer
14 years 24 days ago
Bayesian Network Trust Model in Peer-to-Peer Networks
Abstract. In this paper, we propose a Bayesian network-based trust model in peerto-peer networks. Since trust is multi-faceted, even in the same context, peers still need to develo...
Yao Wang, Julita Vassileva
AAAI
1998
13 years 9 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
INFOCOM
2003
IEEE
14 years 25 days ago
Server-based Inference of Internet Link Lossiness
— We investigate the problem of inferring the packet loss characteristics of Internet links using server-based measurements. Unlike much of existing work on network tomography th...
Venkata N. Padmanabhan, Lili Qiu, Helen J. Wang