We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Abstract. This article introduces a technique for improving the efficiency of diagnosis through approximate compilation. We extend the approach of compiling a diagnostic model, as...
— This paper develops an approach to the capture and measurement of the information contained in opponents’ bet actions in seven card stud poker. We develop a causal model link...
Background: Experimental studies of gene expression have identified some of the individual molecular components and elementary reactions that comprise and control cellular behavio...
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...