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» Using Machine Learning Techniques to Interpret WH-questions
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IWCLS
2007
Springer
15 years 7 months ago
Evolving Fuzzy Rules with UCS: Preliminary Results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. FuzzyUCS combines the generalization capabilities of UCS w...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
ICDM
2002
IEEE
152views Data Mining» more  ICDM 2002»
15 years 6 months ago
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
Jun Wang, Bei Yu, Les Gasser
ILP
2005
Springer
15 years 6 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
ASC
2008
15 years 1 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
CONEXT
2007
ACM
15 years 3 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek