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» Learning Composite Concepts
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ECCC
2006
96views more  ECCC 2006»
15 years 5 months ago
When Does Greedy Learning of Relevant Features Succeed? --- A Fourier-based Characterization ---
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
Jan Arpe, Rüdiger Reischuk
ICFEM
2005
Springer
15 years 10 months ago
A Compositional Framework for Service Interaction Patterns and Interaction Flows
We provide precise high-level models for eight fundamental service interaction patterns, together with schemes for their composition into complex service-based business process int...
Alistair P. Barros, Egon Börger
ECML
2007
Springer
15 years 9 months ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes
142
Voted
ICALT
2005
IEEE
15 years 10 months ago
Empirical Validation of Concept Maps: Preliminary Methodological Considerations
For their usage in the semantic web, valid ontologies are required for a given domain. Here we focus on ontologies represented as concept maps (semantic nets). For one and the sam...
Dietrich Albert, Christina M. Steiner
ATAL
2007
Springer
15 years 11 months ago
SMILE: Sound Multi-agent Incremental LEarning
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...