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ECML
1994
Springer
13 years 11 months ago
Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream
This paperpresents several industrial applications of MLin the context of their effort to solve the "KAMLproblem", i.e., the problem of merging knowledge acquisition and...
Yves Kodratoff
EUROSYS
2006
ACM
14 years 4 months ago
Solving the starting problem: device drivers as self-describing artifacts
Run-time conflicts can affect even the most rigorously tested software systems. A reliance on execution-based testing makes it prohibitively costly to test every possible interac...
Michael F. Spear, Tom Roeder, Orion Hodson, Galen ...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 10 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
AIA
2006
13 years 9 months ago
Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
Benno Stein, Oliver Niggemann, Theodor Lettmann
BMCBI
2006
159views more  BMCBI 2006»
13 years 7 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey