Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
We present a new systematic method of structuring information using mental models. This method can be used both to evaluate the efficiency of an information structure and to build...
Ishantha Lokuge, Stephen A. Gilbert, Whitman Richa...
—For software, the costs of failures are not clearly understood. Often, these costs disappear in the costs of testing, the general developments costs, or the operating expenses. ...
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...