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ECML
2006
Springer
14 years 1 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
EMO
2006
Springer
170views Optimization» more  EMO 2006»
14 years 1 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
EMSOFT
2006
Springer
14 years 1 months ago
Scheduling-independent threads and exceptions in SHIM
Concurrent programming languages should be a good fit for embedded systems because they match the intrinsic parallelism of their architectures and environments. Unfortunately, typ...
Olivier Tardieu, Stephen A. Edwards
FCCM
2006
IEEE
170views VLSI» more  FCCM 2006»
14 years 1 months ago
An Architecture for Efficient Hardware Data Mining using Reconfigurable Computing Systems
The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...
Zachary K. Baker, Viktor K. Prasanna
CAIP
1995
Springer
150views Image Analysis» more  CAIP 1995»
14 years 1 months ago
Particle Tracking in Space Time Sequences
A particle tracking technique at high particle concentration for the evaluation of flow fields beneath water waves is described. A 14 cm thick light sheet parallel to the main wa...
Frank Hering, Dietmar Wierzimok, Bernd Jähne
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