641 search results - page 49 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
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ICES
2010
Springer
14 years 7 months ago
2010
Springer
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
DELTA
2008
IEEE
14 years 11 months ago
2008
IEEE
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...