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ICML
2005
IEEE
14 years 8 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
VTC
2008
IEEE
121views Communications» more  VTC 2008»
14 years 2 months ago
Symbol Error Probability of M-QAM in Multihop Communication Systems with Regenerative Relays
Abstract—We analyze the performance of multihop communication systems with regenerative relays in terms of the average symbol error probability (SEP) for M-ary quadrature amplitu...
Andreas Müller, Joachim Speidel
AUSAI
2004
Springer
14 years 1 months ago
An ACO Algorithm for the Most Probable Explanation Problem
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...
IJACTAICIT
2010
135views more  IJACTAICIT 2010»
13 years 2 months ago
New Clustering Protocol to Decrease Probability Failure Nodes and Increasing the Lifetime in WSNs
Clustering in wireless sensor networks is one of the crucial methods for increasing of network lifetime. There are many algorithms in for clustering. LEACH algorithm is one of the...
Davood KeyKhosravi, Ali Ghaffari, Ali Hosseinalipo...
EUSFLAT
2009
103views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Possibility Distribution: a unified representation for parameter estimation
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
Gilles Mauris