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IJON
2007
100views more  IJON 2007»
13 years 9 months ago
A neural network approach to audio-assisted movie dialogue detection
A novel framework for audio-assisted dialogue detection based on indicator functions and neural networks is investigated. An indicator function defines that an actor is present a...
Margarita Kotti, Emmanouil Benetos, Constantine Ko...
IJON
2010
109views more  IJON 2010»
13 years 4 months ago
Variational inference for Student-t MLP models
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
Hang T. Nguyen, Ian T. Nabney
COLT
1997
Springer
14 years 1 months ago
General Convergence Results for Linear Discriminant Updates
The problem of learning linear discriminant concepts can be solved by various mistake-driven update procedures, including the Winnow family of algorithms and the well-known Percep...
Adam J. Grove, Nick Littlestone, Dale Schuurmans
NECO
2006
60views more  NECO 2006»
13 years 9 months ago
On the Computational Power of Threshold Circuits with Sparse Activity
Circuits composed of threshold gates (McCulloch-Pitts neurons, or perceptrons) are simplified models of neural circuits with the advan1
Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass
ICML
2005
IEEE
14 years 10 months ago
Online learning over graphs
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...
Mark Herbster, Massimiliano Pontil, Lisa Wainer