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» Programs as polygraphs: computability and complexity
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ENTCS
2008
146views more  ENTCS 2008»
15 years 3 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
146
Voted
IJET
2007
121views more  IJET 2007»
15 years 3 months ago
A Technology Based Program That Matches Enrichment Resources With Student Strengths
Remarkable advances in instructional communication technology (ICT) have now made is possible to provide high levels of enrichment and the kinds of curricular differentiation that...
Joseph S. Renzulli, Sally M. Reis
ETS
2009
IEEE
117views Hardware» more  ETS 2009»
15 years 1 months ago
A Two Phase Approach for Minimal Diagnostic Test Set Generation
We optimize the full-response diagnostic fault dictionary from a given test set. The smallest set of vectors is selected without loss of diagnostic resolution of the given test se...
Mohammed Ashfaq Shukoor, Vishwani D. Agrawal
129
Voted
CP
2005
Springer
15 years 9 months ago
Allocation and Scheduling for MPSoCs via Decomposition and No-Good Generation
This paper describes an efficient, complete approach for solving a complex allocation and scheduling problem for Multi-Processor System-on-Chip (MPSoC). Given a throughput constra...
Luca Benini, Davide Bertozzi, Alessio Guerri, Mich...
132
Voted
GPEM
2008
128views more  GPEM 2008»
15 years 3 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood