128 search results - page 20 / 26 » Using Random Forests for Handwritten Digit Recognition |
92
Voted
JMLR
2010
14 years 4 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
101
click to vote
ALT
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
101
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...
71
Voted
CHI
2009
ACM
15 years 10 months ago
2009
ACM
In this paper, we present `QUICKIES', an attempt to bring one of the most useful inventions of the 20th century into the digital age: the ubiquitous sticky notes. `QUICKIES&#...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....