238 search results - page 20 / 48 » Separating Models of Learning from Correlated and Uncorrelat... |
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
CIDM
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
NIPS
2008
13 years 10 months ago
2008
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
NIPS
2003
13 years 10 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...