Abstract is missing.
- IntroductionGenevieve B. Orr, Klaus-Robert Müller. 1-5 [doi]
- Speeding Learning: PrefaceGenevieve B. Orr, Klaus-Robert Müller. 7-8 [doi]
- Effiicient BackPropYann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller. 9-50 [doi]
- Regularization Techniques to Improve Generalization: PrefaceGenevieve B. Orr, Klaus-Robert Müller. 51-54 [doi]
- Early Stopping-But When?Lutz Prechelt. 55-69 [doi]
- A Simple Trick for Estimating the Weight Decay ParameterThorsteinn S. Rögnvaldsson. 71-92 [doi]
- Controling the Hyperparameter Search in MacKay s Bayesian Neural Network FrameworkTony Plate. 93-112 [doi]
- Adaptive Regularization in Neural Network ModelingJan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen. 113-132 [doi]
- Large Ensemble AveragingDavid Horn, Ury Naftaly, Nathan Intrator. 133-139 [doi]
- Improving Network Models and Algorithmic Tricks: PrefaceGenevieve B. Orr, Klaus-Robert Müller. 141-144 [doi]
- Square Unit Augmented, Radially Extended, Multilayer PerceptronsGary William Flake. 145-163 [doi]
- A Dozen Tricks with Multitask LearningRich Caruana. 165-191 [doi]
- Solving the Ill-Conditioning in Neural Network LearningP. Patrick van der Smagt, Gerd Hirzinger. 193-206 [doi]
- Centering Neural Network Gradient FactorsNicol N. Schraudolph. 207-226 [doi]
- Avoiding Roundoff Error in Backpropagating DerivativesTony Plate. 227-233 [doi]
- Representing and Incorporating Prior Knowledge in Neural Network Training: PrefaceGenevieve B. Orr, Klaus-Robert Müller. 235-238 [doi]
- Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent PropagationPatrice Simard, Yann LeCun, John S. Denker, Bernard Victorri. 239-27 [doi]
- Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the NewtonLarry S. Yaeger, Brandyn J. Webb, Richard F. Lyon. 275-298 [doi]
- Neural Network Classification and Prior Class ProbabilitiesSteve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles. 299-313 [doi]
- applying Divide and Conquer to Large Scale Pattern Recognition TasksJürgen Fritsch, Michael Finke. 315-342 [doi]
- Tricks for Time Series: PrefaceGenevieve B. Orr, Klaus-Robert Müller. 343-346 [doi]
- Forecasting the Economy with Neural Nets: A Survey of Challenges and SolutionsJohn E. Moody. 347-371 [doi]
- How to Train Neural NetworksRalph Neuneier, Hans-Georg Zimmermann. 373-423 [doi]