1172 search results - page 68 / 235 » From Data Distributions to Regularization in Invariant Learn... |
115
click to vote
ACL
2004
15 years 4 months ago
2004
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
123
click to vote
DAGM
2004
Springer
15 years 9 months ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
133
Voted
ESANN
2004
15 years 4 months ago
2004
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
106
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
163
Voted
TNN
2008
15 years 3 months ago
2008
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...