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JMLR
2008
116views more  JMLR 2008»
13 years 9 months ago
Support Vector Machinery for Infinite Ensemble Learning
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
Hsuan-Tien Lin, Ling Li
CADE
2001
Springer
14 years 10 months ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela
ANNPR
2006
Springer
13 years 11 months ago
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...
ACL
2007
13 years 11 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
PROCEDIA
2010
105views more  PROCEDIA 2010»
13 years 8 months ago
Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron...
Volodymyr Turchenko, Lucio Grandinetti, George Bos...