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» Using Machine Learning to Guide Architecture Simulation
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FLAIRS
2007
13 years 10 months ago
Guiding Inference with Policy Search Reinforcement Learning
Symbolic reasoning is a well understood and effective approach to handling reasoning over formally represented knowledge; however, simple symbolic inference systems necessarily sl...
Matthew E. Taylor, Cynthia Matuszek, Pace Reagan S...
ILP
2005
Springer
14 years 1 months ago
Guiding Inference Through Relational Reinforcement Learning
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachi...
DATE
2000
IEEE
137views Hardware» more  DATE 2000»
14 years 9 days ago
Retargeting of Compiled Simulators for Digital Signal Processors Using a Machine Description Language
This paper presents a methodology to retarget the technique of compiled simulation for Digital Signal Processors DSPs using the modeling language LISA. In the past, the principl...
Stefan Pees, Andreas Hoffmann, Heinrich Meyr
IPPS
2008
IEEE
14 years 2 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
ICALT
2006
IEEE
14 years 1 months ago
Understanding Dynamic Situations through Context Explanation
This article presents advantages of using context to set up a pedagogical assistance for recognition of collectives situations in Virtual Environment for Training (VET). We are fo...
Romain Benard, Pierre De Loor, Jacques Tisseau