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» Comparison of Data Structures for Computing Formal Concepts
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BMCBI
2006
146views more  BMCBI 2006»
13 years 10 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...
TODAES
1998
68views more  TODAES 1998»
13 years 9 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
ECBS
2005
IEEE
160views Hardware» more  ECBS 2005»
14 years 3 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
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 2 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...
SIROCCO
2008
13 years 11 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