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» Emotional Speech Analysis using Artificial Neural Networks
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CEC
2009
IEEE
15 years 4 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»
15 years 3 months 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...
63
Voted
NIPS
2001
14 years 11 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»
15 years 4 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
15 years 2 months 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,...