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IPMI
2007
Springer
16 years 7 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
ICANN
2007
Springer
16 years 20 days ago
Solving Deep Memory POMDPs with Recurrent Policy Gradients
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
Daan Wierstra, Alexander Förster, Jan Peters,...
ACG
2006
Springer
16 years 14 days ago
Solving Probabilistic Combinatorial Games
Probabilistic combinatorial games (PCG) are a model for Go-like games recently introduced by Ken Chen. They differ from normal combinatorial games since terminal position in each ...
Ling Zhao, Martin Müller 0003
QSIC
2005
IEEE
16 years 2 days ago
Test Case Generation by OCL Mutation and Constraint Solving
Fault-based testing is a technique where testers anticipate errors in a system under test in order to assess or generate test cases. The idea is to have enough test cases capable ...
Bernhard K. Aichernig, Percy Antonio Pari Salas
IJCAI
2007
15 years 8 months ago
Exploiting Inference Rules to Compute Lower Bounds for MAX-SAT Solving
In this paper we present a general logical framework for (weighted) MAX-SAT problem, and study properties of inference rules for branch and bound MAX-SAT solver. Several rules, wh...
Han Lin, Kaile Su