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AAAI
1996
15 years 9 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
COR
2007
108views more  COR 2007»
15 years 7 months ago
New primal-dual algorithms for Steiner tree problems
We present new primal-dual algorithms for several network design problems. The problems considered are the generalized Steiner tree problem (GST), the directed Steiner tree proble...
Vardges Melkonian
JCM
2008
196views more  JCM 2008»
15 years 7 months ago
An Energy Optimization Protocol Based on Cross-Layer for Wireless Sensor Networks
Survivability is one of the critical issues and the most important research topics in the fields of wireless sensor networks (WSNs). Energy efficiency is one of the determining fac...
Yuebin Bai, Shujuan Liu, Mo Sha, Yang Lu, Cong Xu
CSDA
2007
151views more  CSDA 2007»
15 years 7 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...
IVC
2006
146views more  IVC 2006»
15 years 7 months ago
Reconfigurable omnidirectional camera array calibration with a linear moving object
Reconfigurable omnidirectional camera arrays are useful for applications where multiple cameras working together are to be deployed at a short notice. This paper proposes a multi-...
Tarak Gandhi, Mohan M. Trivedi