136 search results - page 4 / 28 » Hierarchical mixture models: a probabilistic analysis |
NIPS
2001
13 years 7 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
ICASSP
2009
IEEE
14 years 23 days ago
2009
IEEE
We propose a new method for detecting the musical instruments that are present in single-channel mixtures. Such a task is of interest for audio and multimedia content analysis and...
BMCBI
2007
13 years 6 months ago
2007
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
GECCO
2009
Springer
14 years 17 days ago
2009
Springer
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
ICDM
2007
IEEE
14 years 10 days ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...