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DATE
2010
IEEE
183views Hardware» more  DATE 2010»
13 years 6 months ago
Toward optimized code generation through model-based optimization
—Model-Based Development (MBD) provides an al level of abstraction, the model, which lets engineers focus on the business aspect of the developed system. MBD permits automatic tr...
Asma Charfi, Chokri Mraidha, Sébastien G&ea...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
HPCA
2008
IEEE
14 years 7 months ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
BMCBI
2008
218views more  BMCBI 2008»
13 years 7 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
ICML
1996
IEEE
14 years 8 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore