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ECSQARU
2007
Springer
13 years 8 months ago
Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information
Abstract. This paper addresses the issue of measuring similarity between pieces of uncertain information in the framework of possibility theory. In a first part, natural properties...
Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi, Salem...
FOIKS
2008
Springer
13 years 6 months ago
SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach
This paper investigates an extension of classification trees to deal with uncertain information where uncertainty is encoded in possibility theory framework. Class labels in data s...
Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat, Zi...
ISBI
2006
IEEE
14 years 5 months ago
Continuous image representations avoid the histogram binning problem in mutual information based image registration
Mutual information (MI) based image-registration methods that use histograms are known to suffer from the so-called binning problem, caused by the absence of a principled techniqu...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
UAI
2008
13 years 6 months ago
Flexible Priors for Exemplar-based Clustering
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
Daniel Tarlow, Richard S. Zemel, Brendan J. Frey
BMCBI
2006
119views more  BMCBI 2006»
13 years 4 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs