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Ying Yang
Ying Yang
Australian Taxation Office
Adresse e-mail validée de ato.gov.au
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Discretization for naive-Bayes learning: managing discretization bias and variance
Y Yang, GI Webb
Machine learning 74, 39-74, 2009
2992009
A comparative study of discretization methods for naive-bayes classifiers
Y Yang, GI Webb
Proceedings of PKAW 2002, 2002
2462002
Combining proactive and reactive predictions for data streams
Y Yang, X Wu, X Zhu
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
1582005
Proportional k-interval discretization for naive-Bayes classifiers
Y Yang, GI Webb
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
1552001
Discretization methods
Y Yang, GI Webb, X Wu
Data mining and knowledge discovery handbook, 101-116, 2010
1482010
On why discretization works for naive-bayes classifiers
Y Yang, GI Webb
AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on …, 2003
1282003
Mining in anticipation for concept change: Proactive-reactive prediction in data streams
Y Yang, X Wu, X Zhu
Data mining and knowledge discovery 13, 261-289, 2006
1272006
Adapted one-versus-all decision trees for data stream classification
S Hashemi, Y Yang, Z Mirzamomen, M Kangavari
IEEE Transactions on Knowledge and Data Engineering 21 (5), 624-637, 2008
1252008
Dynamic classifier selection for effective mining from noisy data streams
X Zhu, X Wu, Y Yang
Fourth IEEE International Conference on Data Mining (ICDM'04), 305-312, 2004
1182004
Flexible decision tree for data stream classification in the presence of concept change, noise and missing values
S Hashemi, Y Yang
Data Mining and Knowledge Discovery 19, 95-131, 2009
832009
Error detection and impact-sensitive instance ranking in noisy datasets
X Zhu, X Wu, Y Yang
Proceedings of the national conference on artificial intelligence, 378-384, 2004
782004
Weighted proportional k-interval discretization for naive-bayes classifiers
Y Yang, GI Webb
Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference …, 2003
622003
To select or to weigh: A comparative study of linear combination schemes for superparent-one-dependence estimators
Y Yang, GI Webb, J Cerquides, KB Korb, J Boughton, KM Ting
IEEE Transactions on Knowledge and Data Engineering 19 (12), 1652-1665, 2007
572007
Ensemble selection for superparent-one-dependence estimators
Y Yang, K Korb, KM Ting, GI Webb
AI 2005: Advances in Artificial Intelligence: 18th Australian Joint …, 2005
562005
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection
X Zhu, X Wu, Y Yang
Knowledge and Information Systems 9, 339-363, 2006
482006
Classifying under computational resource constraints: anytime classification using probabilistic estimators
Y Yang, G Webb, K Korb, KM Ting
Machine Learning 69 (1), 35-53, 2007
472007
Dealing with predictive-but-unpredictable attributes in noisy data sources
Y Yang, X Wu, X Zhu
Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on …, 2004
462004
Discretization for naive-bayes learning
Y Yang
Monash University, 2003
452003
A lazy bagging approach to classification
X Zhu, Y Yang
Pattern Recognition 41 (10), 2980-2992, 2008
432008
Incremental discretization for naïve-bayes classifier
J Lu, Y Yang, GI Webb
Advanced Data Mining and Applications: Second International Conference, ADMA …, 2006
382006
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