4773 search results - page 719 / 955 » Learning from Uncertain Data |
180
click to vote
DASFAA
2004
IEEE
15 years 10 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
188
click to vote
NIPS
1997
15 years 7 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
170
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
157
click to vote
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
197
click to vote
EMMCVPR
2007
Springer
16 years 21 days ago
2007
Springer
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...