182 search results - page 7 / 37 » Component-wise parameter smoothing for learning mixture mode... |
130
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JAIR
1998
15 years 1 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
129
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VLSISP
1998
15 years 1 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
109
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FGCN
2008
IEEE
15 years 3 months ago
2008
IEEE
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
122
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PAMI
2008
15 years 1 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
137
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ALT
2002
Springer
15 years 10 months ago
2002
Springer
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...