Data Efficient Support Vector Machine Training Using the Minimum Description Length Principle

Author:

Singh Harsh1,Arandjelovic Ognjen2

Affiliation:

1. International Institute of Information Technology,Naya Raipur,India

2. University of St Andrews,St Andrews,United Kingdom

Publisher

IEEE

Reference21 articles.

1. On over-fitting in model selection and subsequent selection bias in performance evaluation;cawley;The Journal of Machine Learning Research,2010

2. Models and selection criteria for regression and classification;heckerman;Proceedings of the Conference on Uncertainty in Artificial Intelligence,1997

3. Model evaluation, model selection, and algorithm selection in machine learning;raschka,2018

4. Beating the hold-out: bounds for k-fold and progressive crossvalidation;blum;Proceedings of the Conference on Computational Learning Theory,1999

5. Learning curves, model selection and complexity of neural networks;murata;Advances in neural information processing systems,1993

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