Sciweavers

641 search results - page 23 / 129
» Training Methods for Adaptive Boosting of Neural Networks
Sort
View
ESANN
2006
14 years 11 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
SIGKDD
2008
150views more  SIGKDD 2008»
14 years 9 months ago
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Ch...
IJON
2006
103views more  IJON 2006»
14 years 9 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
CGI
2000
IEEE
15 years 2 months ago
Neural Network-based Violinist's Hand Animation
We present a system for the animation of human hand that plays violin. Neural network controls the hand movement. We make use of an optimization method to generate the examples fo...
Junhwan Kim, Frederic Cordier, Nadia Magnenat-Thal...
62
Voted
IJCNN
2006
IEEE
15 years 3 months ago
In Situ Training of CMOL CrossNets
—— Hybrid semiconductor/nanodevice (“CMOL”) technology may allow the implementation of digital and mixed-signal integrated circuits, including artificial neural networks (...
Jung Hoon Lee, Konstantin Likharev