737 search results - page 66 / 148 » A General Model for Multiple View Unsupervised Learning |
ACMSE
2008
ACM
13 years 11 months ago
2008
ACM
With stock surpluses and shortages representing one of the greatest elements of risk to wholesalers, a solution to the multiretailer supply chain management problem would result i...
COLT
2004
Springer
14 years 23 days ago
2004
Springer
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
NN
1997
Springer
14 years 1 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...