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» Neural Networks and Complexity Theory
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CLEIEJ
2007
152views more  CLEIEJ 2007»
15 years 4 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
APIN
2002
90views more  APIN 2002»
15 years 4 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
PR
2007
101views more  PR 2007»
15 years 3 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
ICONIP
2010
15 years 2 months ago
Multi-view Gender Classification Using Hierarchical Classifiers Structure
In this paper, we propose a hierarchical classifier structure for gender classification based on facial images by reducing the complexity of the original problem. In the proposed f...
Tian-Xiang Wu, Bao-Liang Lu
IWC
2011
212views more  IWC 2011»
14 years 7 months ago
Automatic web accessibility metrics: Where we are and where we can go
 The  fact  that  several  web  accessibility  metrics  exist  may  be  evidence  of  a  lack  of  a  comparison  framework   that  highlights  how  well  th...
Markel Vigo, Giorgio Brajnik