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ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
14 years 2 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
MAICS
2003
13 years 9 months ago
Grounded Concept Development Using Introspective Atoms
In this paper we present a system that uses its underlying physiology, a hierarchical memory and a collection of memory management algorithms to learn concepts as cases and to bui...
Eric G. Berkowitz, Brian E. Mastenbrook
KIVS
1999
Springer
13 years 11 months ago
Mobile Agents as an Architectural Concept for Internet-Based Distributed Applications - The WASP Project Approach
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
Stefan Fünfrocken, Friedemann Mattern
ESWS
2008
Springer
13 years 9 months ago
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection
Abstract. The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simp...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
TRS
2008
13 years 7 months ago
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capabi...
Andrzej W. Przybyszewski