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IJCNN
2006
IEEE
16 years 26 days ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura
IWANN
2001
Springer
15 years 11 months ago
Non-symmetric Support Vector Machines
A novel approach to calculate the generalization error of the support vector machines and a new support vector machine–nonsymmatic support vector machine–is proposed here. Our ...
Jianfeng Feng
IJCNN
2000
IEEE
15 years 11 months ago
Hybrid HMM-NN Architectures for Connected Digit Recognition
This paper deals with the more recent results obtained by the application of the CSLU Toolkit frame-based hybrid HMM/ANN architecture on the connected digit recognition task for t...
Piero Cosi
IJCNN
2000
IEEE
15 years 11 months ago
Incremental Active Learning with Bias Reduction
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
Masashi Sugiyama, Hidemitsu Ogawa
IWANN
1999
Springer
15 years 11 months ago
Blind Inversion of Wiener Systems
In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimiz...
Anisse Taleb, Jordi Solé i Casals, Christia...