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» Learning qualitative models from numerical data
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SAC
2005
ACM
13 years 11 months ago
Incremental rule learning based on example nearness from numerical data streams
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
ECSQARU
2005
Springer
13 years 11 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
FUZZIEEE
2007
IEEE
14 years 3 days ago
Using Orders of Magnitude and Nominal Variables to Construct Fuzzy Partitions
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
Cati Olmo, Germán Sánchez, Francesc ...
SEW
2006
IEEE
13 years 11 months ago
Qualitative Modeling for Requirements Engineering
Acquisition of “quantitative” models of sufficient accuracy to enable effective analysis of requirements tradeoffs is hampered by the slowness and difficulty of obtaining su...
Tim Menzies, Julian Richardson
MLDM
2009
Springer
14 years 10 days ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...