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PRL
1998
87views more  PRL 1998»
15 years 1 months ago
Global and local neural network ensembles
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
A. Sierra, Carlos Santa Cruz
COGSCI
2006
107views more  COGSCI 2006»
15 years 2 months ago
Is the Brain a Quantum Computer?
We argue that computation via quantum mechanical processes is irrelevant to explaining how brains produce thought, contrary to the ongoing speculations of many theorists. First, q...
Abninder Litt, Chris Eliasmith, Frederick W. Kroon...
CIBCB
2007
IEEE
15 years 6 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
109
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
221
Voted
ICANN
2011
Springer
14 years 5 months ago
Extending Tree Kernels with Topological Information
The definition of appropriate kernel functions is crucial for the performance of a kernel method. In many of the state-of-the-art kernels for trees, matching substructures are con...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...