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» Emotional Speech Analysis using Artificial Neural Networks
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CEC
2009
IEEE
14 years 2 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
NIME
2004
Springer
162views Music» more  NIME 2004»
14 years 29 days ago
The Architecture of Auracle: a Real-Time, Distributed, Collaborative Instrument
Auracle is a “group instrument,” controlled by the voice, for real-time, interactive, distributed music making over the Internet. It is implemented in the JavaTM programming l...
Chandrasekhar Ramakrishnan, Jason Freeman, Kristja...
NIPS
2001
13 years 9 months ago
(Not) Bounding the True Error
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...
John Langford, Rich Caruana
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 2 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
AIIA
2001
Springer
14 years 3 days ago
Wide Coverage Incremental Parsing by Learning Attachment Preferences
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi,...