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» Neural networks: Algorithms and applications
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NIPS
2007
15 years 7 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
163
Voted
EOR
2008
111views more  EOR 2008»
15 years 6 months ago
Machine-part cell formation in group technology using a modified ART1 method
Group Technology (GT) is a useful way of increasing the productivity for manufacturing high quality products and improving the flexibility of manufacturing systems. Cell formation...
Miin-Shen Yang, Jenn-Hwai Yang
ICML
1997
IEEE
16 years 7 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
240
Voted
E2EMON
2006
IEEE
16 years 8 days ago
Implementation and evaluation of an inline network measurement algorithm and its application to TCP-based service
Abstract— In our previous studies, we proposed ImTCP, an inline network measurement technique that can obtain available bandwidth information of the network path between sender a...
Tomoaki Tsugawa, Go Hasegawa, Masayuki Murata
177
Voted
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 11 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui