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SEMWEB
2005
Springer
16 years 5 days ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
GECCO
2004
Springer
16 years 2 days ago
Bounding Learning Time in XCS
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
16 years 2 days ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
16 years 2 days ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
LSO
2004
Springer
16 years 1 days ago
Tool Support for Inter-team Learning in Agile Software Organizations
The need for organizational learning support is common among all software development companies but is not addressed by agile software methods practitioners. The typical Experience...
Thomas Chau, Frank Maurer