1343 search results - page 44 / 269 » Learning Weighted Automata |
CORR
2011
Springer
13 years 4 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
ICML
2009
IEEE
14 years 4 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
ACL
2010
13 years 8 months ago
2010
Weighted tree transducers have been proposed as useful formal models for representing syntactic natural language processing applications, but there has been little description of ...
JMLR
2008
13 years 10 months ago
2008
In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensiona...
COLT
2007
Springer
14 years 4 months ago
2007
Springer
In the present paper, we study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp oracle inequalities for conve...