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» The Recurrent Control Neural Network
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NIPS
2004
14 years 7 days ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
ISMB
2000
14 years 6 days ago
Prediction of the Number of Residue Contacts in Proteins
Knowing the number of residue contacts in a protein is crucial for deriving constraints useful in modeling protein folding, protein structure, and/or scoring remote homology searc...
Piero Fariselli, Rita Casadio
AR
2007
99views more  AR 2007»
13 years 11 months ago
Experience-based imitation using RNNPB
Abstract— Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human w...
Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunor...
CLEIEJ
2007
152views more  CLEIEJ 2007»
13 years 11 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...
ICDAR
2011
IEEE
12 years 10 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...