1863 search results - page 118 / 373 » Multiagent learning using a variable learning rate |
125
Voted
NECO
2002
15 years 4 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
130
click to vote
BIOCOMP
2006
15 years 6 months ago
2006
- The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In th...
127
Voted
NIPS
2001
15 years 6 months ago
2001
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
136
Voted
ICDAR
2003
IEEE
15 years 10 months ago
2003
IEEE
The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of shapes and structures learned from learning sam...
154
click to vote
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...