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ICML
2008
IEEE
16 years 7 months ago
Non-parametric policy gradients: a unified treatment of propositional and relational domains
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...
Kristian Kersting, Kurt Driessens
ICML
2004
IEEE
16 years 7 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
ISBI
2004
IEEE
16 years 7 months ago
Pareto Depth Sampling Distributions for Gene Ranking
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...
ISBI
2004
IEEE
16 years 7 months ago
Multi-Modal Non-Rigid Registration Using a Stochastic Gradient Approximation
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...
Aloys du Bois d'Aische, Benoît Macq, Florian...
ISBI
2004
IEEE
16 years 7 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy