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1.

図書

図書
Genevieve B. Orr, Klaus-Robert Müller (eds.)
出版情報: Berlin : Springer, c1998  vi, 432 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1524
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目次情報: 続きを見る
Introduction
Speeding Learning
Preface
Efficient BackProp / Yann LeCun ; Leon Bottou ; Genevieve B. Orr ; Klaus-Robert Müller1:
Regularization Techniques to Improve Generalization
Early Stopping - But When? / Lutz Prechelt2:
A Simple Trick for Estimating the Weight Decay Parameter / Thorsteinn S. Rögnvaldsson3:
Controling the Hyperparameter Search in MacKay's Bayesian Neural Network Framework / Tony Plate4:
Adaptive Regularization in Neural Network Modeling / Jan Larsen ; Claus Svarer ; Lars Nonboe Andersen ; Lars Kai Han- sen5:
Large Ensemble Averaging / David Horn ; Ury Naftaly ; Nathan Intrator6:
Improving Network Models and Algorithmic Tricks
Square Unit Augmented, Radially Extended, Multilayer Perceptrons / Gary William Flake7:
A Dozen Tricks with Multitask Learning / Rich Caruana8:
Solving the Ill-Conditioning in Neural Network Learning / Patrick van der Smagt ; Gerd Hirzinger9:
Centering Neural Network Gradient Factors / Nicol N. Schraudolph10:
Avoiding Roundoff Error in Backpropagating Derivatives / 11:
Representing and Incorporating Prior Knowledge in Neural Network Training
Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation / Patrice Y. Simard ; Yann A. LeCun ; John S. Denker ; Bernard Victorri12:
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton / Larry S. Yaeger ; Brandyn J. Webb ; Richard F. Lyon13:
Neural Network Classification and Prior Class Probabilities / Steve Lawrence ; Ian Burns ; Andrew Back ; Ah Chung Tsoi ; C. Lee Gi- les14:
Applying Divide and Conquer to Large Scale Pattern Recognition Tasks / Jurgen Fritsch ; Michael Finke15:
Tricks for Time Series
Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions / John Moody16:
How to Train Neural Networks / Ralph Neuneier ; Hans Georg Zimmermann17:
Author Index
Subject Index
Introduction
Speeding Learning
Preface
2.

図書

図書
Takeshi Furuhashi, Yoshiki Uchikawa, (eds.)
出版情報: Berlin : Springer-Verlag, c1996  viii, 243 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1152 . Lecture notes in artificial intelligence
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3.

図書

図書
Takeshi Furuhashi, (ed.)
出版情報: Berlin ; New York ; Tokyo : Springer, c1995  viii, 223 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1011 . Lecture notes in artificial intelligence
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4.

図書

図書
P.J. Braspenning, F. Thuijsman, A.J.M.M. Weijters, (eds.)
出版情報: Berlin ; New York : Springer, c1995  vii, 293 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 931
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5.

図書

図書
Stig I. Andersson (ed.)
出版情報: Berlin ; New York : Springer-Verlag, c1995  vi, 260 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 888
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6.

図書

図書
LiMin Fu
出版情報: New York : McGraw-Hill, c1994  xix, 460 p. ; 25 cm
シリーズ名: McGraw-Hill computer science series
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7.

図書

図書
Margaret Euphrasia Sereno
出版情報: Cambridge, Mass. : MIT Press, c1993  vi, 181 p. ; 24 cm
シリーズ名: Neural network modeling and connectionism
Bradford book
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8.

図書

図書
A.F. Rocha
出版情報: Berlin ; New York : Springer-Verlag, c1992  xv, 393 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 638 . Lecture notes in artificial intelligence
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9.

図書

図書
E. Domany, J.L. van Hemmen, K. Schulten, (eds.) ; [contributors, V. Braitenberg ... et al.]
出版情報: Berlin ; Tokyo : Springer-Verlag, c1991  xvi, 347 p. ; 25 cm
シリーズ名: Physics of neural networks
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10.

図書

図書
Hermann Haken
出版情報: Berlin ; Tokyo : Springer-Verlag, c1991  ix, 225 p. ; 25 cm
シリーズ名: Springer series in synergetics ; v. 50
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