694 search results - page 18 / 139 » SMEM Algorithm for Mixture Models |
103
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TCBB
2011
14 years 4 months ago
2011
—Protein identification is a key and essential step in mass spectrometry (MS) based proteome research. To date, there are many protein identification strategies that employ eithe...
79
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ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
124
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ISDA
2010
IEEE
14 years 6 months ago
2010
IEEE
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
102
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SDM
2011
SIAM
14 years 13 days ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
KDD
2010
ACM
14 years 7 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...