1106 search results - page 83 / 222 » On regularization algorithms in learning theory |
156
click to vote
ICML
1999
IEEE
16 years 5 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
141
Voted
JMLR
2010
14 years 11 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
171
Voted
MIAR
2006
IEEE
15 years 11 months ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
153
click to vote
ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
155
click to vote
SOFSEM
2010
Springer
16 years 1 months ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...