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» Comparison of Data Structures for Computing Formal Concepts
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135
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BMCBI
2006
146views more  BMCBI 2006»
15 years 2 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
107
Voted
TODAES
1998
68views more  TODAES 1998»
15 years 2 months ago
Specification and verification of pipelining in the ARM2 RISC microprocessor
Abstract State Machines (ASMs) provide a sound mathematical basis for the specification and verification of systems. An application of the ASM methodology to the verification of a ...
James K. Huggins, David Van Campenhout
113
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ECBS
2005
IEEE
160views Hardware» more  ECBS 2005»
15 years 8 months ago
Traceability-Driven Model Refinement for Test Case Generation
Testing complex Computer-Based Systems is not only a demanding but a very critical task. Therefore the use of models for generating test data is an important goal. Tool support du...
Matthias Riebisch, Michael Hübner
149
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 7 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
126
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SIROCCO
2008
15 years 4 months ago
Sharpness: A Tight Condition for Scalability
: A distributed system is scalable if the rate at which it completes its computation and communication tasks does not depend on its size. As an example, the scalability of a peer-t...
Augustin Chaintreau