BibSonomy publications for /author/Schraudolph http://www.bibsonomy.org/author/Schraudolph BibSonomy RSS Feed for /author/Schraudolph A quasi-Newton approach to non-smooth convex optimization. dblp http://www.bibsonomy.org/bibtex/2342bb7d59408978b9d8fcdeb180c64e5/dblp dblp 2008-08-14T00:00:00+02:00 dblp
A quasi-Newton approach to non-smooth convex optimization.
Jin Yu and S. V. N. Vishwanathan and Simon Günter and Nicol N. Schraudolph ICML 1216-1223 (2008)
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]]> Graph Kernels dblp http://www.bibsonomy.org/bibtex/2e41a9363da109ad617369cc84d611360/dblp dblp 2008-08-04T00:00:00+02:00 dblp
Graph Kernels
S. V. N. Vishwanathan and Karsten M. Borgwardt and Risi Imre Kondor and Nicol N. Schraudolph CoRR abs/0807.0093 (2008)
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]]> Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation http://www.bibsonomy.org/bibtex/2aa96bdfd16e9593aec3eab071e445966/idsia idsia 2008-03-11T14:52:34+01:00 daanbib
Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation
Nicol Schraudolph and Jin Yu and Douglas Aberdeen Advances in Neural Information Processing Systems 18 (2006)
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]]> Evolving Networks: Using the Genetic Algorithm with Connectionist Learning http://www.bibsonomy.org/bibtex/26796484979e615f17d17c0f98e4b5226/idsia idsia 2008-03-11T14:52:34+01:00 nn
Evolving Networks: Using the Genetic Algorithm with Connectionist Learning
Richard K. Belew and John Mcinerney and Nicol N. Schraudolph Proceedings of the Workshop on Artificial Life (ALIFE '90) (1991)
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]]> Evolving Networks: Using the Genetic Algorithm with Connectionist Learning http://www.bibsonomy.org/bibtex/2cf51de7ce5a15f16ef85a7a3d38547d7/idsia idsia 2008-03-11T14:52:34+01:00 nn
Evolving Networks: Using the Genetic Algorithm with Connectionist Learning
Richard K. Belew and John Mcinerney and Nicol N. Schraudolph (1990)
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]]> Temporal Difference Learning of Position Evaluation in the Game of Go http://www.bibsonomy.org/bibtex/28f0ca98e348db5b06165284f3915b4a9/idsia idsia 2008-03-11T14:52:34+01:00 evolutionary
Temporal Difference Learning of Position Evaluation in the Game of Go
Nicol N. Schraudolph and Peter Dayan and Terrence J. Sejnowski Advances in Neural Information Processing 6 817--824 (1994)
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]]> Unsupervised Learning in LSTM Recurrent Neural Networks http://www.bibsonomy.org/bibtex/28675c78c4dc2fb470e6666e95d90d12e/idsia idsia 2008-03-11T14:52:34+01:00 juergen
Unsupervised Learning in LSTM Recurrent Neural Networks
Klapper M. Rybicka and N. N. Schraudolph and J. Schmidhuber Lecture Notes on Comp. Sci. 2130, Proc. Intl. Conf. on Artificial Neural Networks (ICANN-2001) 684--691 (2001)
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]]> Learning precise timing with LSTM recurrent networks http://www.bibsonomy.org/bibtex/2880bbe1ddeec5e5761aa87102f7fdf2e/idsia idsia 2008-03-11T14:52:34+01:00 juergen
Learning precise timing with LSTM recurrent networks
F. A. Gers and N. Schraudolph and J. Schmidhuber Journal of Machine Learning Research 3 115--143 (2002)
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]]> Processing Images by Semi-Linear Predictability Minimization http://www.bibsonomy.org/bibtex/2d4735a75e5359f0ee1d67a35c5f11baf/idsia idsia 2008-03-11T14:52:34+01:00 juergen
Processing Images by Semi-Linear Predictability Minimization
N. N. Schraudolph and M. Eldracher and Schmid\ J. Huber Network: Computation in Neural Systems 10 133--169 (1999)
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]]> On Centering Neural Network Weight Updates http://www.bibsonomy.org/bibtex/2e9741eabf8e750436425eaf35ad59d84/idsia idsia 2008-03-11T14:52:34+01:00 juergen
On Centering Neural Network Weight Updates
N. N. Schraudolph Tricks of the Trade (1998)
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