Publications 1996
Lars Kai Hansen and Jan Larsen
Linear Unlearning for Cross-Validation
Advances in Computational Mathematics, vol. 5, pp. 269-280, 1996.
Keywords:
[abstract (txt)]
[paper (ps.Z)]
Anders Krogh and Søren Riis
Prediction of Beta Sheets in Proteins
Proceedings of NIPS'8
Keywords:Protein secondary structure, Simulated Annealing, Neural Networks
[abstract (txt)] [paper (ps.gz)]
Morten With Pedersen, Lars Kai Hansen and Jan Larsen
Pruning with Generalization Based Weight Saliencies: gammaOBD, gammaOBS
in D.S. Touretzky, M.C. Mozer and M.E. Hasselmo (eds.),
Proceedings of NIPS'8, Massachusetts: MIT Press, pp. 521-528, 1996.
Keywords: Pruning, generalization, OBD, OBS
[abstract (txt)] [paper (ps.Z)]
Lars Kai Hansen and Jan Larsen
Unsupervised Learning and Generalization
in Proceedings of the IEEE International Conference on Neural Networks 1996, Washington DC,
vol. 1, pp. 25-30, June 1996.
Keywords:
[abstract (txt)]
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P. Sørensen, M. Nørgård, L.K. Hansen, J. Larsen
Cross-Validation with LULOO
in S.I. Amari, L.W. Chan, I. King and K.S. Leung (eds.)
Proceedings of 1996 International Conference on Neural Information Processing,
ICONIP'96, Hong Kong, Sept. 24-27, vol. 2, pp. 1305--1310, 1996.
Keywords: Leave-One-Out Cross Validation
[abstract (txt)] [paper (ps.Z)]
M. Hintz-Madsen, L.K. Hansen, J. Larsen, E. Olesen, K.T. Drzewiecki
Detection of Malignant Melanoma using Neural Classifiers
in A.B. Bulsari, S. Kallio and D. Tsaptsinos (eds.),
Proceedings of International Conference on Engineerings Applications on
Neural Networks EANN'96, London, UK, pp. 395-398, June 1996.
Keywords: Skin Cancer, Neural Classifier
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L.K. Hansen, L. Nonboe Andersen, U. Kjems, J. Larsen
Revisiting Boltzmann Learning: Parameter Estimation in Markov Random Fields
in Proceedings of International Conference on Acoustics Speech and Signal Processing,
Atlanta, GA, vol. 6, pp. 3395-3398, May 1996.
Keywords: Boltzmann Learning, Markov Random Fields
[abstract (txt)] [paper (ps.Z)]
J. Larsen, L.K. Hansen, C. Svarer and M. Ohlsson
Design and Regularization of Neural Networks: The Optimal Use of A Validation
Set
in S. Usui, Y. Tohkura, S. Katagiri and E. Wilson (eds.),
Proceedings of the IEEE Workshop on Neural Networks for Signal Processing
VI, Piscataway, New Jersey: IEEE, pp. 62-71, 1996.
Keywords: Architecture Optimization, Validation, Regularization
[abstract (txt)]
[lecture (ps.Z)]
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Cyril Goutte
On the use of a pruning prior for neural networks
Neural Networks for Signal Processing VI -- Proceedings of the 1996
IEEE Workshop (Kyoto), Piscataway, New Jersey: IEEE, pp. 52-61.
Keywords: regularisation, pruning
[abstract (txt)][ paper (ps.Z)]
M. Hintz-Madsen, M.W. Pedersen, L.K. Hansen, J. Larsen
Design and Evaluation of Neural Classifiers
in S. Usui, Y. Tohkura, S. Katagiri and E. Wilson (eds.),
Proceedings of the IEEE Workshop on Neural Networks for Signal Processing
VI, Piscataway, New Jersey: IEEE, pp. 223-232, 1996.
Keywords: Classification, Architecture Optimization
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Peter Toft
Detection of Lines with Wiggles using the Radon Transform
Proceedings of NORSIG 96, Helsinki, Finland, September 1996, pp. 267-270.
Keywords: Radon transform, Noise, Line detection
[abstract (txt)] [paper (ps.Z)]
Søren Riis and Anders Krogh
Joint Estimation of Parameters in Hidden Neural Networks
Proceedings of NORSIG 96, Helsinki, Finland, September 1996, pp. 431-434.
Keywords: Hidden Markov Models, Speech Recognition, Neural Networks, Supervised Training
[abstract (txt)] [paper (ps.Z)]
Søren Riis and Anders Krogh
Improving Prediction of Protein Secondary Structure using Structured Neural
Networks and Multiple Sequence Alignments
Journal of Computational Biology 3, 1996:163-183
Keywords: protein secondary structure prediction, neural networks, multiple
sequence alignment.
[abstract (txt)]
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Peter Toft and Jesper James Jensen
A very fast
implementation of 2D Iterative Reconstruction Algorithms
Abstract accepted for the 1996 Medical Imaging Conference. The paper will appear in the conference issue of MIC96.
Keywords: Reconstruction, PET, Fast implementation.
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Søren Holm, Peter Toft and Mikael Jensen
Estimation of the Noise Contributions from Blank, Transmission and Emission
Scans in PET
IEEE Transactions on Nuclear Science, August 1996, Vol. 43, Number 4, pp. 2285-2291
Keywords: PET, Noise modelling
[abstract (txt)]
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Peter Toft, Peter Alshede Philipsen, Lars Kai Hansen, Ulrik Kjems
Brain Mapping by Positron Emission Tomography
To appear in proceeding of the Interdisciplinary Inversion Workshop 4
Keywords: Reconstruction, PET.
[abstract (txt)]
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Jan Larsen, Lars Kai Hansen and Claus Svarer
Regularization of Neural Networks
in Per Christian Hansen (ed.),
Proceeding of the Interdisciplinary Inversion Workshop 4,
Techn. Univ. of Denmark, Sept. 24, 1996, ISBN 87-88306-24-0, pp. 59-66.
Keywords: Regularization, Neural Netwroks.
[abstract (txt)]
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Cyril Goutte and Lars Kai Hansen
Regularization with a Pruning Prior
Preprint: Neural Networks, 10:6, pp. 1053-1059 (1997).
Keywords: Regularization, Generalization method, Bayesian learning, Evidence
framework, Laplace prior, Comparison with weight decay.
[abstract (txt)]
[paper (ps.Z)]
Kim V. Hansen and Peter Toft
Fast Curve Estimation Using Pre-Conditioned Generalized Radon Transform
IEEE Transactions on Image Processing, Dec 96, p. 1651-1661.
Keywords: Curve detection, Generalized Radon and Hough Transform
[abstract (txt)]
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N. Mørch, L.K. Hansen, S.C. Strother, I. Law,
C. Svarer, B. Lautrup, J.R. Anderson, N. Lange, O.B. Paulson
Generalization Performance of Nonlinear vs. Linear Models for
[15O]water PET Functional Activation Studies
In: NeuroImage, 3(3), page 258, 1996.
Keywords: fMRI, Generalization.
[abstract (html)]
Morten With Pedersen and David G. Stork
Pruning Boltzmann Networks and Hidden Markov Models
Keywords: second-order training, pruning, Boltzmann networks.
[abstract (txt)]
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