Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
In this paper we propose a method for gene ranking from microarray experiments using multiple discriminants. The novelty of our approach is that a gene's relative rank is det...
Alfred O. Hero, Sepidarseh Zareparsi, Anand Swaroo...
We present a new fast implementation of a non-rigid registration algorithm, based on a finite element elastic deformation model using the mutual information metric with a linear e...
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...