In this paper, we re-examine the RSSI measurement model for location estimation and provide the first detailed formulation of the probability distribution of the position of a sens...
Charalampos Papamanthou, Franco P. Preparata, Robe...
In this paper, we model the adversary (eavesdropper) present in the wireless communication medium using probabilistic models. We precisely formulate the security-throughput optimiz...
Mohamed A. Haleem, Chetan Nanjunda Mathur, Rajarat...
In this paper we investigate polysemous adjectives whose meaning varies depending on the nouns they modify (e.g., fast). We acquire the meanings of these adjectives from a large c...
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...