We propose a statistical method for estimating a gene network based on Bayesian networks from microarray gene expression data together with biological knowledge including protein-...
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
Abstract— In this paper, we present an analytical study targeted at statistically capturing the loss behavior of a RED queue. We utilize a finite-state Markov chain model. Start...
Mohit B. Singh, Homayoun Yousefi'zadeh, Hamid Jafa...
A latch-based timing analyzer is an essential tool for developing high-speed pipeline designs. As process variations increasingly influence the timing characteristics of DSM desi...
Rob A. Rutenbar, Li-C. Wang, Kwang-Ting Cheng, San...
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...