Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
5 In the probabilistic traveling salesman problem (PTSP), customers require a visit with a given probability, and the best solution is the tour through all customers with the lowe...
In this paper, we consider the communications involved in the execution of a complex application, deployed on a heterogeneous platform. Such applications extensively use macro-com...
In this paper, a novel protocol for providing both client and server anonymity in peer-to-peer (P2P) based grids is presented. The protocol assumes individual nodes or users to be...
Rohit Gupta, Souvik Ray, Arun K. Somani, Zhao Zhan...