This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
This paper is concerned with the efficient execution of multiplesequence alignmentmethodsin a multipleclientenvironment. Multiple sequence alignment (MSA) is a computationally ex...
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Analysis of Symbolic Executions Aws Albarghouthi1 , Arie Gurfinkel2 , Ou Wei1,3 , and Marsha Chechik1 1 Department of Computer Science, University of Toronto, Canada 2 Software Eng...
Aws Albarghouthi, Arie Gurfinkel, Ou Wei, Marsha C...
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...