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189
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BIBE
2009
IEEE
15 years 10 months ago
2009
IEEE
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
172
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COLT
2005
Springer
16 years 5 days ago
2005
Springer
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
145
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
208
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NEUROSCIENCE
2001
Springer
15 years 11 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
163
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...