Rigorous learning curve bounds from statistical mechanics
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Model complexity control and statisticallearning theory
Natural Computing: an international journal
Model Selection and Error Estimation
Machine Learning
Automatic Hyperparameter Tuning for Support Vector Machines
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Margin Distribution Bounds on Generalization
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Distribution-Dependent Vapnik-Chervonenkis Bounds
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Bounds on Sample Size for Policy Evaluation in Markov Environments
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Comparison of model selection for regression
Neural Computation
Learning adaptive kernels for model diagnosis
Design and application of hybrid intelligent systems
Sources of Success for Boosted Wrapper Induction
The Journal of Machine Learning Research
Measuring the VC-Dimension Using Optimized Experimental Design
Neural Computation
A prediction approach to well logging
Intelligent information processing II
Transformers Fault Diagnosis Based on Support Vector Machines and Dissolved Gas Analysis
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
A complete fuzzy discriminant analysis approach for face recognition
Applied Soft Computing
Hardenability prediction of gear steel in refining process
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
IEEE Transactions on Neural Networks
Penalty functions for genetic programming algorithms
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
SLIT: designing complexity penalty for classification and regression trees using the SRM principle
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A improved SVM and its using in electric power system load forecasting
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
A novel classification method based on hypersurface
Mathematical and Computer Modelling: An International Journal
Model selection in omnivariate decision trees using Structural Risk Minimization
Information Sciences: an International Journal
How many trees in a random forest?
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
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A method for measuring the capacity of learning machines isdescribed. The method is based on fitting a theoretically derivedfunction to empirical measurements of the maximal differencebetween the error rates on two separate data sets of varying sizes.Experimental measurements of the capacity of various types oflinear classifiers are presented.