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» Unsupervised learning in neural computation
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CONTEXT
2001
Springer
14 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
NN
1998
Springer
13 years 8 months ago
Multilayer neural networks and Bayes decision theory
There are many applications of multilayer neural networks to pattern classification problems in the engineering field. Recently, it has been shown that Bayes a posteriori probab...
Ken-ichi Funahashi
PERCOM
2010
ACM
13 years 10 months ago
Collaborative real-time speaker identification for wearable systems
We present an unsupervised speaker identification system for personal annotations of conversations and meetings. The system dynamically learns new speakers and recognizes already k...
Mirco Rossi, Oliver Amft, Martin Kusserow, Gerhard...
ICANN
1997
Springer
14 years 25 days ago
On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINN
: We present the implementation of on-line Hebbian learning for NESPINN, the Neurocomputer for the simulation of spiking neurons. In order to support various forms of Hebbian learn...
Ulrich Roth, Axel Jahnke, Heinrich Klar
NN
2007
Springer
106views Neural Networks» more  NN 2007»
13 years 8 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi