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Klapper-Rybicka, Magdalena and Schraudolph, Nicol N and Schmidhuber, Juergen (2000) Unsupervised Recurrent Neural Networks. Technical Report UNSPECIFIED
Schraudolph, Nicol N (2000) Fast Second-Order Gradient Descent via O(n) Curvature Matrix-Vector Products. Technical Report UNSPECIFIED
Schraudolph, Nicol N and Dayan Peter Sejnowski, Terrence (2000) Learning to Evaluate Go Positions via Temporal Difference Methods. Technical Report UNSPECIFIED
Schraudolph, Nicol N (2000) A Generic Dataflow Programming Environment for Neural Networks. Technical Report UNSPECIFIED
Schraudolph, Nicol N and Giannakopoulos, Xavier (1999) Online Independent Component Analysis With Local Learning Rate Adaptation. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1999) Local Gain Adaptation in Stochastic Gradient Descent. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1998) Accelerated Gradient Descent by Factor-Centering Decomposition. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1998) Scoring Conference Submissions by Alternate Maximization of Likelihood. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1998) Slope Centering: Making Shortcut Weights Effective. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1998) Online Local Gain Adaptation for Multi-Layer Perceptrons. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1998) A Fast, Compact Approximation of the Exponential Function. Technical Report UNSPECIFIED
Schraudolph, Nicol N and Eldracher, Martin and Schmidhuber, Juergen (1997) Processing Images by Semi-Linear Predictability Minimization. Technical Report UNSPECIFIED
Schmidhuber, Juergen and Zhao, Jieyu and Schraudolph, Nicol N (1997) Reinforcement Learning with Self-Modifying Policies. Technical Report UNSPECIFIED
Schraudolph, Nicol N (1997) Centering Neural Network Gradient Factors. Technical Report UNSPECIFIED