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» Multiple Layer Perceptron training using genetic algorithms
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ICASSP
2010
IEEE
15 years 3 months ago
Multi-style MLP features for BN transcription
It has become common practice to adapt acoustic models to specific-conditions (gender, accent, bandwidth) in order to improve the performance of speech-to-text (STT) transcriptio...
Viet-Bac Le, Lori Lamel, Jean-Luc Gauvain
115
Voted
HIS
2008
15 years 5 months ago
Clonal Selection-Based Neural Classifier
Artificial Immune Systems (AIS) constitute an emerging and promising field, and have been applied to pattern recognition and classification tasks to a limited extent so far. This ...
Aris Lanaridis, Vasileios Karakasis, Andreas Stafy...
141
Voted
CEC
2007
IEEE
15 years 7 months ago
A multi-layered solution for supporting isp traffic demand using genetic algorithm
This paper proposes a unique feedback governed multi layered architectural model to support ISP's traffic demands with multiple Quality of Service(QoS) constraints. The propos...
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan B...
180
Voted
IEEEHPCS
2010
14 years 10 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...
137
Voted
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 9 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher