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• Learning to rank using gradient descent
  Chris Burges and Tal Shaked and Erin Renshaw and Ari Lazier and Matt Deeds and Nicole Hamilton and Greg Hullender ICML '05: Proceedings of the 22nd international conference on Machine learning, page89--96. New York, NY, USA, ACM Press, (2005)
  to neural, web ranknet, networks, machine, search, msr, learning, ranking, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
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• A Self-Organizing Network That Can Follow Non-stationary Distributions
  Bernd Fritzke Proceedings of the Seventh International Conference on Artificial Neural Networks: ICANN-97, volume1327ofLecture Notes in Computer Science, page613--618. Berlin; New York: Springer-Verlag, (1997)
  to nn gas, neural, growing, by idsia and 2 other people on Mar 11, 2008, 2:52 PM
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• Introduction
  Laurence Abbott and Terrence J. Sejnowski Neural Codes and Distributed Representations: Foundations of Neural Computation, MIT Press, Cambridge, MA, (1999)
  to timing neural, codingspike, nn, codingpopulation, by idsia and 1 other person on Mar 11, 2008, 2:52 PM
  BibTeX 
• Introduction
  Laurence Abbott and Terrence J. Sejnowski Neural Codes and Distributed Representations: Foundations of Neural Computation, MIT Press, Cambridge, MA, (1999)
  to codingpopulation, codingspike, timing nn, neural, by schaul and 1 other person on Feb 26, 2008, 12:05 PM
  BibTeX 
• A Self-Organizing Network That Can Follow Non-stationary Distributions
  Bernd Fritzke Proceedings of the Seventh International Conference on Artificial Neural Networks: ICANN-97, volume1327ofLecture Notes in Computer Science, page613--618. Berlin; New York: Springer-Verlag, (1997)
  to neural, nn growing, gas, by schaul and 2 other people on Feb 26, 2008, 11:58 AM
  URL | BibTeX