The SCEAS System
Navigation Menu

Search the dblp DataBase


Nicol N. Schraudolph: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nicol N. Schraudolph, Richard K. Belew
    Dynamic Parameter Encoding for Genetic Algorithms. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:9-21 [Journal]
  2. Thore Graepel, Nicol N. Schraudolph
    Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:450-455 [Conf]
  3. Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber
    Unsupervised Learning in LSTM Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:684-691 [Conf]
  4. Nicol N. Schraudolph
    Fast Curvature Matrix-Vector Products. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:19-26 [Conf]
  5. Nicol N. Schraudolph, Thore Graepel
    Conjugate Directions for Stochastic Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1351-1358 [Conf]
  6. S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy
    Accelerated training of conditional random fields with stochastic gradient methods. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:969-976 [Conf]
  7. Nicol N. Schraudolph
    Centering Neural Network Gradient Factors. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:207-226 [Conf]
  8. Nicol N. Schraudolph, Douglas Aberdeen, Jin Yu
    Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski
    Temporal Difference Learning of Position Evaluation in the Game of Go. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:817-824 [Conf]
  10. Nicol N. Schraudolph, Xavier Giannakopoulos
    Online Independent Component Analysis with Local Learning Rate Adaptation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:789-795 [Conf]
  11. Nicol N. Schraudolph, Terrence J. Sejnowski
    Competitive Anti-Hebbian Learning of Invariants. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1017-1024 [Conf]
  12. Nicol N. Schraudolph, Terrence J. Sejnowski
    Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:499-506 [Conf]
  13. Nicol N. Schraudolph, Terrence J. Sejnowski
    Plasticity-Mediated Competitive Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:475-480 [Conf]
  14. Nicol N. Schraudolph, Terrence J. Sejnowski
    Tempering Backpropagation Networks: Not All Weights are Created Equal. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:563-569 [Conf]
  15. Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski
    Empirical Entropy Manipulation for Real-World Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:851-857 [Conf]
  16. Markus T. Friberg, Pedro Gonnet, Yves Barral, Nicol N. Schraudolph, Gaston H. Gonnet
    Measures of Codon Bias in Yeast, the tRNA Pairing Index and Possible DNA Repair Mechanisms. [Citation Graph (0, 0)][DBLP]
    WABI, 2006, pp:1-11 [Conf]
  17. Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc J. Van Gool
    Fast stochastic optimization for articulated structure tracking. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:3, pp:352-364 [Journal]
  18. Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber
    Learning Precise Timing with LSTM Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:115-143 [Journal]
  19. S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola
    Step Size Adaptation in Reproducing Kernel Hilbert Space. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1107-1133 [Journal]
  20. Nicol N. Schraudolph
    Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:7, pp:1723-1738 [Journal]
  21. Nicol N. Schraudolph
    A Fast, Compact Approximation of the Exponential Function. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:4, pp:853-862 [Journal]
  22. Dirk Büche, Nicol N. Schraudolph, Petros Koumoutsakos
    Accelerating evolutionary algorithms with Gaussian process fitness function models. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:2, pp:183-194 [Journal]
  23. Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
    3D Hand Tracking in a Stochastic Approximation Setting. [Citation Graph (0, 0)][DBLP]
    Workshop on Human Motion, 2007, pp:136-151 [Conf]
  24. S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph
    Fast Computation of Graph Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1449-1456 [Conf]
  25. Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan
    Fast Iterative Kernel PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1225-1232 [Conf]

  26. Using an adaptive VAR Model for motion prediction in 3D hand tracking. [Citation Graph (, )][DBLP]

  27. A quasi-Newton approach to non-smooth convex optimization. [Citation Graph (, )][DBLP]

  28. An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking. [Citation Graph (, )][DBLP]

  29. Efficient Exact Inference in Planar Ising Models. [Citation Graph (, )][DBLP]

  30. Using stochastic gradient-descent scheme in appearance model based face tracking. [Citation Graph (, )][DBLP]

  31. Graph Kernels [Citation Graph (, )][DBLP]

  32. Efficient Exact Inference in Planar Ising Models [Citation Graph (, )][DBLP]

Search in 0.003secs, Finished in 0.006secs
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
System created by [] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002