211 search results - page 22 / 43 » On Spectral Learning of Mixtures of Distributions |
112
Voted
ICCS
2007
Springer
15 years 6 months ago
2007
Springer
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
123
Voted
AAAI
2010
15 years 27 days ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
111
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KDD
2004
ACM
16 years 5 days ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
118
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KDD
2006
ACM
16 years 5 days ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
94
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ICML
2006
IEEE
16 years 17 days ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...