We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
Ligand prediction has been driven by a fundamental desire to understand more about how biomolecules recognize their ligands and by the commercial imperative to develop new drugs. ...
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
Abstract. We are developing a methodology of Test-Driven Development of Models (TDDM) based on an experimental UML2.0 modeling tool SMART. Our experience shows that TDDM is quite u...
Susumu Hayashi, Pan YiBing, Masami Sato, Kenji Mor...
Functional validation of modern microprocessors is an important and complex problem. One of the problems in functional validation is the generation of test cases that has higher p...
Deepak Mathaikutty, Sandeep K. Shukla, Sreekumar V...