A Unified Bias-Variance Decomposition for Zero-One and Squared Loss

Bias-Variance Analysis and Ensembles of SVM

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Machine learning

Handbook of data mining and knowledge discovery

Simple Estimators for Relational Bayesian Classifiers

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Why collective inference improves relational classification

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods

The Journal of Machine Learning Research

Stability of feature selection algorithms: a study on high-dimensional spaces

Knowledge and Information Systems

On the Bayes fusion of visual features

Image and Vision Computing

A lazy bagging approach to classification

Pattern Recognition

A bias/variance decomposition for models using collective inference

Machine Learning

Avoiding Boosting Overfitting by Removing Confusing Samples

ECML '07 Proceedings of the 18th European conference on Machine Learning

Ranking the Uniformity of Interval Pairs

ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I

Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models

ICCS 2009 Proceedings of the 9th International Conference on Computational Science

ODDboost: Incorporating Posterior Estimates into AdaBoost

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

A dynamic classifier ensemble selection approach for noise data

Information Sciences: an International Journal

Edited AdaBoost by weighted kNN

Neurocomputing

A randomized sphere cover classifier

IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning

Invariant operators, small samples, and the bias-variance dilemma

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Model sparsity and brain pattern interpretation of classification models in neuroimaging

Pattern Recognition

Modelling metabolic pathways using stochastic logic programs-based ensemble methods

CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology

An analysis of how ensembles of collective classifiers improve predictions in graphs

Proceedings of the 21st ACM international conference on Information and knowledge management

Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection

Expert Systems with Applications: An International Journal

A MapReduce-based distributed SVM ensemble for scalable image classification and annotation

Computers & Mathematics with Applications

Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model

Neurocomputing