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EOR
2000
77views more  EOR 2000»
13 years 4 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
13 years 5 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»
14 years 4 months ago
Privacy-preservation for gradient descent methods
Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Le...
ICML
2005
IEEE
14 years 5 months 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...