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» Using Abstract State Machines at Microsoft: A Case Study
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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...
DT
2000
88views more  DT 2000»
13 years 7 months ago
Postsilicon Validation Methodology for Microprocessors
f abstraction as applicable to break the problem's complexity, and innovating better techniques to address complexity of new microarchitectural features. Validation techniques...
Hemant G. Rotithor
CORR
2011
Springer
193views Education» more  CORR 2011»
13 years 2 months ago
Advice Coins for Classical and Quantum Computation
We study the power of classical and quantum algorithms equipped with nonuniform advice, in the form of a coin whose bias encodes useful information. This question takes on particu...
Scott Aaronson, Andrew Drucker
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...
DSRT
2009
IEEE
13 years 11 months ago
Statemachine Matching in BOM Based Model Composition
Base Object Model (BOM) is a component-based standard designed to support reusability and Composability. Reusability helps in reducing time and cost of the development of a simula...
Imran Mahmood, Rassul Ayani, Vladimir Vlassov, Far...