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ICANN
2009
Springer
14 years 10 days ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
WCE
2007
13 years 9 months ago
Speech Recognition Model for Tamil Stops
—In this paper, a novel approach for implementing Tamil isolated speech phoneme recognition is described. While most of the literature on Automatic Speech Recognition (ASR) is ba...
Arumugam Rathinavelu, Anupriya Rajkumar, A. S. Mut...
NECO
2010
147views more  NECO 2010»
13 years 6 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
NN
2007
Springer
13 years 7 months ago
Optimal decision network with distributed representation
On the basis of detailed analysis of reaction times and neurophysiological data from tasks involving choice, it has been proposed that the brain implements an optimal statistical ...
Rafal Bogacz
ASPDAC
2000
ACM
104views Hardware» more  ASPDAC 2000»
14 years 3 days ago
Design of digital neural cell scheduler for intelligent IB-ATM switch
— We present the architecture of the ATM banyan switch composed of pattern process and high-speed digital neural cell scheduler. An input buffer type ATM switch with a window-bas...
J.-K. Lee, Seung-Min Lee, Mike Myung-Ok Lee, D.-W....