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ICANN
2003
Springer
15 years 5 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
IJON
2008
109views more  IJON 2008»
14 years 11 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
JMLR
2012
13 years 2 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
ANLP
1997
84views more  ANLP 1997»
15 years 1 months ago
High Performance Segmentation of Spontaneous Speech Using Part of Speech and Trigger Word Information
We describe and experimentally evaluate an efficient method for automatically determining small clause boundaries in spontaneous speech. Our method applies an artificial neural ne...
Marsal Gavaldà, Klaus Zechner, Gregory Aist
HIS
2003
15 years 1 months ago
Decision Support Systems Using Hybrid Neurocomputing
This paper suggests a decision support system for tactical air combat environment where not much prior information is available about the decision regions. We proposed a combinati...
Cong Tran, Ajith Abraham, Lakhmi C. Jain