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EOR
2000
77views more  EOR 2000»
9 years 11 months ago
Training the random neural network using quasi-Newton methods
Training in the random neural network (RNN) is generally speci
Aristidis Likas, Andreas Stafylopatis
IJIT
2004
10 years 1 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...
KDD
2007
ACM
142views Data Mining» more  KDD 2007»
11 years 3 days ago
Privacy-preservation for gradient descent methods
Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Le...
ICML
2005
IEEE
11 years 15 days ago
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
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