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ECSQARU
1999
Springer
13 years 11 months ago
Anchoring Symbols to Vision Data by Fuzzy Logic
Intelligent agents embedded in physical environments need ity to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols ref...
Silvia Coradeschi, Alessandro Saffiotti
AAAI
2000
13 years 9 months ago
A Logic for Planning under Partial Observability
We propose an epistemic dynamic logic EDL able to represent the interactions between action and knowledge that are fundamental to planning under partial observability. EDL enables...
Andreas Herzig, Jérôme Lang, Dominiqu...
ISMB
1993
13 years 8 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
13 years 11 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev