3256 search results - page 539 / 652 » Learning Linear Transformations |
120
click to vote
NIPS
2000
15 years 3 months ago
2000
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
132
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
121
Voted
JMLR
2008
15 years 2 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
119
click to vote
JAIR
2006
15 years 2 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
127
click to vote
ECCC
2007
15 years 2 months ago
2007
Satisfiability algorithms have become one of the most practical and successful approaches for solving a variety of real-world problems, including hardware verification, experime...