766 search results - page 2 / 154 » Variations on U-Shaped Learning |
ML
1998
ACM
13 years 4 months ago
1998
ACM
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
ICML
2010
IEEE
13 years 2 months ago
2010
IEEE
Matrix factorization into the product of lowrank matrices induces non-identifiability, i.e., the mapping between the target matrix and factorized matrices is not one-to-one. In th...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...