What size net gives valid generalization?
Neural Computation
Measuring the VC-dimension of a learning machine
Neural Computation
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Properties of support vector machines
Neural Computation
Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV
Advances in kernel methods
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Model complexity control and statisticallearning theory
Natural Computing: an international journal
Mathematical Programming in Data Mining
Data Mining and Knowledge Discovery
Self-organizing map for cluster analysis of a breast cancer database
Artificial Intelligence in Medicine
Purging false negatives in cancer diagnosis using incremental active learning
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
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This paper looks into the tradeoff between model complexity and prediction accuracy using data examples from the benchmark problem of breast cancer. In particular, we take into account several crucial aspects in model construction using learning kernel classifiers. Given its importance, a more generalized form of the basis kernel function definition is then applied. Moreover, model selection is performed in terms of kernel machine hyperparameters, and results are evaluated in terms of the model development cost time.