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» Voice conversion using Artificial Neural Networks
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VLSISP
2002
124views more  VLSISP 2002»
14 years 11 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
HUC
2003
Springer
15 years 5 months ago
Context-Aware Computing with Sound
We propose audio networking: using ubiquitously available sound hardware (i.e. speakers, sound-cards and microphones) for lowbandwidth, wireless networking. A variety of location- ...
Anil Madhavapeddy, David Scott, Richard Sharp
NIPS
1992
15 years 1 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
ASC
2006
15 years 1 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
15 years 5 months ago
Understand Corporate Rationales for Engaging in Reverse Stock Splits - A Data Mining Application
There has been much written on the individual topics of bankruptcy prediction, corporate performance, and reverse stock splits. However, there is little research into the relation...
Melody Y. Kiang, Dorothy M. Fisher, Steve A. Fishe...