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IDEAL
2010
Springer
15 years 5 months ago
Dimension Reduction for Regression with Bottleneck Neural Networks
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
Elina Parviainen
IJAR
2010
152views more  IJAR 2010»
15 years 5 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
JSAC
2010
120views more  JSAC 2010»
15 years 5 months ago
A simple and scalable algorithm for alignment in broadcast networks
We consider the problem of coordinating a group of mobile nodes communicating through a wireless medium. The objective of the network is the alignment of all the nodes towards a c...
Roberto Pagliari, Mehmet E. Yildiz, Shrut Kirti, K...
MT
2010
88views more  MT 2010»
15 years 5 months ago
Metric and reference factors in minimum error rate training
In Minimum Error Rate Training (MERT), BLEU is often used as the error function, despite the fact that it has been shown to have a lower correlation with human judgment than other...
Yifan He, Andy Way
NETWORKS
2010
15 years 5 months ago
Optical index of fault tolerant routings in WDM networks
Maˇnuch and Stacho [7] introduced the problem of designing f-tolerant routings in optical networks, i.e., routings which still satisfy the given requests even if f failures occur...
Stéphane Bessy, Clément Lepelletier