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ICML
2006
IEEE
15 years 10 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
ISBRA
2011
Springer
14 years 1 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
SEMWEB
2005
Springer
15 years 3 months ago
Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context
Recommender algorithms have been quite successfully employed in a variety of scenarios from filtering applications to recommendations of movies and books at Amazon.com. However, a...
Stefania Ghita, Wolfgang Nejdl, Raluca Paiu
CEC
2009
IEEE
15 years 4 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
WCNC
2008
IEEE
15 years 4 months ago
Analysis of Distributed Reservation Protocol for UWB-Based WPANs with ECMA-368 MAC
— The recent ECMA-368 standard specifies the use of ultra wideband (UWB) technology for high rate communications in wireless personal area networks (WPANs). This paper proposes ...
Nasim Arianpoo, Yuxia Lin, Vincent W. S. Wong, Att...