Neural Networks:
Tricks of the Trade 1996
Genevieve B. Orr, Klaus-Robert Müller (Eds.):
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop.
Lecture Notes in Computer Science 1524 Springer 1998, ISBN 3-540-65311-2 BibTeX
@proceedings{DBLP:conf/nips/1996,
editor = {Genevieve B. Orr and
Klaus-Robert M{\"u}ller},
title = {Neural Networks: Tricks of the Trade, this book is an outgrowth
of a 1996 NIPS workshop},
booktitle = {Neural Networks: Tricks of the Trade},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1524},
year = {1998},
isbn = {3-540-65311-2},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Introduction
Speeding Learning
Regularization Techniques to Improve Generalization
Improving Network Models and Algorithmic Tricks
Representing and Incorporating Prior Knowledge in Neural Network Training
- Genevieve B. Orr, Klaus-Robert Müller:
Representing and Incorporating Prior Knowledge in Neural Network Training: Preface.
235-238
Electronic Edition (Springer LINK) BibTeX
- Patrice Simard, Yann LeCun, John S. Denker, Bernard Victorri:
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation.
239-27
Electronic Edition (Springer LINK) BibTeX
- Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon:
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton.
275-298
Electronic Edition (Springer LINK) BibTeX
- Steve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles:
Neural Network Classification and Prior Class Probabilities.
299-313
Electronic Edition (Springer LINK) BibTeX
- Jürgen Fritsch, Michael Finke:
applying Divide and Conquer to Large Scale Pattern Recognition Tasks.
315-342
Electronic Edition (Springer LINK) BibTeX
Tricks for Time Series
Copyright © Sat May 16 23:31:28 2009
by Michael Ley (ley@uni-trier.de)
