217 search results - page 19 / 44 » Incremental learning of nonparametric Bayesian mixture model... |
127
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ALT
2003
Springer
15 years 10 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
132
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JMLR
2010
14 years 8 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
116
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ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
119
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AAAI
2008
15 years 3 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
101
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...