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COLT
2004
Springer
16 years 2 days ago
Learning Classes of Probabilistic Automata
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
François Denis, Yann Esposito
ICWL
2004
Springer
16 years 1 days ago
Activity Theory as Tool for Analyzing Asynchronous Learning Networks (ALN)
Abstract. This paper calls on activity theory as tool for analyzing Asynchronous Learning Networks (ALN) to achieve a better understanding of their dynamics. This paper makes some ...
Jerry Zhigang Li, Sharon Elizabeth Bratt
IDEAL
2004
Springer
16 years 1 days ago
In-Situ Learning in Multi-net Systems
Abstract. Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in ...
Matthew C. Casey, Khurshid Ahmad
ROCAI
2004
Springer
16 years 1 days ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...
ICCBR
2003
Springer
15 years 12 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel