%0 Conference Paper %1 YangKorbTingWebb05 %A Yang, Y. %A Korb, K. %A Ting, K-M. %A Webb, G.I. %B Lecture Notes in Computer Science 3809: Advances in Artificial Intelligence, Proceedings of the 18th Australian Joint Conference on Artificial Intelligence (AI 2005) %C Berlin/Heidelberg %D 2005 %E Zhang, S. %E Jarvis, R. %I Springer %K AODE Conditional Estimation, Probablity %P 102-111 %T Ensemble Selection for SuperParent-One-Dependence Estimators %X SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes' attribute independence assumption by allowing each attribute to depend on a common single attribute (superparent) in addition to the class. An ensemble of SPODEs is able to achieve high classification accuracy with modest computational cost. This paper investigates how to select SPODEs for ensembling. Various popular model selection strategies are presented. Their learning efficacy and efficiency are theoretically analyzed and empirically verified. Accordingly, guidelines are investigated for choosing between selection criteria in differing contexts.

@inproceedings{YangKorbTingWebb05, abstract = {SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes' attribute independence assumption by allowing each attribute to depend on a common single attribute (superparent) in addition to the class. An ensemble of SPODEs is able to achieve high classification accuracy with modest computational cost. This paper investigates how to select SPODEs for ensembling. Various popular model selection strategies are presented. Their learning efficacy and efficiency are theoretically analyzed and empirically verified. Accordingly, guidelines are investigated for choosing between selection criteria in differing contexts.}, added-at = {2016-03-20T05:42:04.000+0100}, address = {Berlin/Heidelberg}, audit-trail = {http://dx.doi.org/10.1007/11589990_13}, author = {Yang, Y. and Korb, K. and Ting, K-M. and Webb, G.I.}, biburl = {https://www.bibsonomy.org/bibtex/2e857f80a6e34a243cc5fb7aca941d562/giwebb}, booktitle = {Lecture Notes in Computer Science 3809: Advances in Artificial Intelligence, Proceedings of the 18th Australian Joint Conference on Artificial Intelligence (AI 2005)}, editor = {Zhang, S. and Jarvis, R.}, interhash = {f396aad9498bcb95c6fad959839dc100}, intrahash = {e857f80a6e34a243cc5fb7aca941d562}, keywords = {AODE Conditional Estimation, Probablity}, location = {Sydney, Australia}, pages = {102-111}, publisher = {Springer}, timestamp = {2016-03-20T05:42:04.000+0100}, title = {Ensemble Selection for SuperParent-One-Dependence Estimators}, year = 2005 }