In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB us...
Do-Hoon Kim, Myoung Rak Lee, Longzhe Han, Hoh Pete...