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...
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...
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. ...
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...
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...