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» A Nonlinear Predictive State Representation
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ICML
2007
IEEE
14 years 8 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
IEAAIE
2009
Springer
13 years 5 months ago
Constructing Decisional DNA on Renewable Energy: A Case Study
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
Cesar Sanín, Edward Szczerbicki
ISBI
2008
IEEE
14 years 8 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
13 years 10 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
OSN
2011
13 years 2 months ago
A distributed impairment aware QoS framework for all-optical networks
—Different physical impairments can occur in optical transmission systems. Impairments such as fiber nonlinear effects are dependent on network state and vary with traffic and to...
Wenhao Lin, Timothy Hahn, Richard S. Wolff, Brenda...