Admissible stochastic complexity models for classification problems
- 1 June 1992
- journal article
- Published by Springer Nature in Statistics and Computing
- Vol. 2 (2) , 97-104
- https://doi.org/10.1007/bf01889588
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Rule-Based Neural Networks for Classification and Probability EstimationNeural Computation, 1992
- Learning classification treesStatistics and Computing, 1992
- A Practical Bayesian Framework for Backpropagation NetworksNeural Computation, 1992
- Minimum complexity density estimationIEEE Transactions on Information Theory, 1991
- Multisurface method of pattern separation for medical diagnosis applied to breast cytology.Proceedings of the National Academy of Sciences, 1990
- Complexity theory of neural networks and classification problemsPublished by Springer Nature ,1990
- Learning in Artificial Neural Networks: A Statistical PerspectiveNeural Computation, 1989
- Inferring decision trees using the minimum description lenght principleInformation and Computation, 1989
- Universal coding, information, prediction, and estimationIEEE Transactions on Information Theory, 1984
- Image Pattern RecognitionPublished by Springer Nature ,1980