908 search results - page 63 / 182 » Stochastic Finite Learning |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
ICDAR
2007
IEEE
14 years 3 months ago
2007
IEEE
With the increasing market of cheap cameras, natural scene text has to be handled in an efficient way. Some works deal with text detection in the image while more recent ones poi...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
NEUROSCIENCE
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...