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" The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network. "
Exploratory Analysis of Metallurgical Process Data with Neural Networks and ... - 335. lappuse
autors: C. Aldrich - 2002 - 386 lapas
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Advances in Neural Information Processing Systems 9: Proceedings of the 1996 ...

Michael C. Mozer, Michael I. Jordan, Thomas Petsche - 1997 - 1128 lapas
...Proceedings of the CTP-PBSRI Joint Workshop on Theoretical Physics, J.-H. Oh et al eds, 105-130, 1995. For valid generalization, the size of the weights is more important than the size of the network Peter L. Bartlett Department of Systems Engineering Research School of Information Sciences and Engineering...
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Computational Learning Theory: Third European Conference ..., 3. sējums

Shai Ben-David - 1997 - 350 lapas
...207-217, (1993). 3. Peter Bartlett, "The Sample Complexity of Pattern Classification with Neural Networks: the Size of the Weights is More Important than the Size of the Network," Technical Report. Department of Systems Engineering, Australian National University, May 1996. 4. Bernhard...
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Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola - 1999 - 400 lapas
...44(2):525-536, 1998a. PL Bartlett. The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Transactions on Information Theory, 44(2):525-536, 1998b. PL Bartlett, P. Long, and RC Williamson....
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Advances in Neural Information Processing Systems 11: Proceedings of the ...

Michael S. Kearns, Sara A. Solla, David A. Cohn - 1999 - 1122 lapas
...References [Bar98] PL Bartlett. The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Transactions on Information Theory, 44(2):525-536, 1998. [Bre97] L. Breiman. Prediction games...
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Advances in Large Margin Classifiers

Alexander J. Smola - 2000 - 436 lapas
...54(2):317-331, 1997. PL Bartlett. The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Transactions on Information Theory, 44(2):525-536, 1998. PL Bartlett, SR Kulkarni, and SE Posner....
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Advances in Neural Information Processing Systems 12 ..., 1-2. sējumi

Sara A. Solla, Klaus-Robert Müller, Todd K. Leen - 2000 - 1124 lapas
...overfit. References [1] PL Bartlett. The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Transactions on Information Theory, 44(2):525-536, March 1998. [2] L. Breiman. Bagging predictors....
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Advances in Neural Information Processing Systems 13: Proceedings of the ...

Todd K. Leen, Thomas G. Dietterich, Volker Tresp - 2001 - 1136 lapas
...training data, while BP is biased toward learning smoolher functions. References [ 1 ] Peter L. Bartlett. For valid generalization the size of the weights is more important than the size of the network. In Advances in Neural Information Processing Systems, volume 9, page 134. The MIT Press, 1997. [2]...
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Learning Kernel Classifiers: Theory and Algorithms

Ralf Herbrich - 2001 - 402 lapas
...deGryter. Bartlett, PL (1998). The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network. IEEE Transactions on Information Theory 44(2), 525-536. Bartlett, PL and J. Shawe-Taylor(1999). Generalization...
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Advances in Neural Information Processing Systems ..., 14. sējums,1-2. izdevums

Thomas G. Dietterich, Suzanna Becker, Professor of Information Engineering Zoubin Ghahramani, Zoubin Ghahramani - 2002 - 832 lapas
...References [1] Peter Bartlett, "The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network", IEEE Transactions on Information Theory, Vol. 44, No. 2, March 1998. [2] V. Koltchinskii and D. Panchenko,...
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Design and Application of Hybrid Intelligent Systems

Ajith Abraham, Mario Köppen, Katrin Franke - 2003 - 1160 lapas
...weights, the smoother the building-blocks. And the reason behind Bartlett's well-known observation that "for valid generalization, the size of the weights is more important than the size of the network" is now crystal clear from the viewpoint of this geometrical interpretation. Various methods of preventing...
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