We present a transistor level power estimator which exploits algorithms for fast circuit simulation to compute the power dissipation of CMOS circuits. The proposed approach uses s...
Premal Buch, Shen Lin, Vijay Nagasamy, Ernest S. K...
An efficient framework is proposed for the fast recovery of Bayesian network classifier. A novel algorithm, called Iterative Parent-Child learningBayesian Network Classifier (IPC-...
Genome sequencing opened a new era in genetics allowing the study of genomes at the nucleotide level. However, the chosen method of sequencing produced large numbers of nucleotide...
This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...