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TACAS
2007
Springer
105views Algorithms» more  TACAS 2007»
14 years 2 months ago
Hoare Logic for Realistically Modelled Machine Code
This paper presents a mechanised Hoare-style programming logic framework for assembly level programs. The framework has been designed to fit on top of operational semantics of rea...
Magnus O. Myreen, Michael J. C. Gordon
ICCAD
2006
IEEE
119views Hardware» more  ICCAD 2006»
14 years 2 months ago
Dynamic power management using machine learning
Dynamic power management (DPM) work proposed to date places inactive components into low power states using a single DPM policy. In contrast, we instead dynamically select among a...
Gaurav Dhiman, Tajana Simunic Rosing
SIAMCOMP
2000
88views more  SIAMCOMP 2000»
13 years 7 months ago
On a Conjecture by Coffman, Flatto, and Wright on Stochastic Machine Minimization
We investigate a conjecture stated by Coffman, Flatto, and Wright within the context of a stochastic machine minimization problem with a hard deadline. We prove that the conjecture...
Nah-Oak Song, Demosthenis Teneketzis
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 2 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace
ICCS
1993
Springer
14 years 1 days ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson