Ying Yang

发表

Mean Absolute Error

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning and Data Mining.

Market Basket Analysis

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning.

Mean Squared Error

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning.

Learning for anytime classification

Geoffrey I. Webb, Janice R. Boughton, Ying Yang, 2006 .

Learning classifiers that perform probabilistic classification under computational resource constraints

Geoffrey I. Webb, Janice R. Boughton, Ying Yang, 2005 .

Multi-Armed Bandit

Johannes Fürnkranz, Luís Torgo, Katharina Morik, 2010, Encyclopedia of Machine Learning.

Multistrategy Ensemble Learning

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning.

Discretization Methods

Xindong Wu, Geoffrey I. Webb, Ying Yang, 2010, Data Mining and Knowledge Discovery Handbook.

Distance Measures

Geoffrey E. Hinton, M. Puterman, G. Karypis, 2010, Encyclopedia of GIS.

Markov Random Field

William T. B. Uther, Y. Shoham, J. Rissanen, 2016 .

Proportional k-Interval Discretization for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2001, ECML.

A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification

Geoffrey I. Webb, Bin Liu, Ying Yang, 2009, PAKDD.

Discretization for naive-Bayes learning: managing discretization bias and variance

Geoffrey I. Webb, Ying Yang, Ying Yang, 2008, Machine Learning.

On Why Discretization Works for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2003, Australian Conference on Artificial Intelligence.

Discretization Methods

Geoffrey I. Webb, Xindong Wu, Ying Yang, 2005, The Data Mining and Knowledge Discovery Handbook.

Non-Disjoint Discretization for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2002, ICML.

A comparative study of discretization methods for naive-Bayes classifiers

Ying Yang, Geoffrey I. Webb, Geoffrey I. Webb, 2002 .

Proportional k-Interval Discretization for Naive-Bayes Classifiers

Geoffrey I. Webb, Ying Yang, Ying Yang, 2001, ECML.

Mixture Modeling

William T. B. Uther, Y. Shoham, J. Rissanen, 2019, Encyclopedia of Machine Learning.

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2006, ECML.

Deep Belief Networks

이상헌, Geoffrey E. Hinton, 이명구, 2010, Encyclopedia of Machine Learning.

Classifying under computational resource constraints: anytime classification using probabilistic estimators

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2007, Machine Learning.

Anytime classification for a pool of instances

Geoffrey I. Webb, Ying Yang, Bei Hui, 2009, Machine Learning.

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators

Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting, 2007, IEEE Transactions on Knowledge and Data Engineering.

Mean Absolute Error

Y. Shoham, J. Rissanen, M. Dorigo, 2010, Encyclopedia of Machine Learning and Data Mining.

Distance Functions

Geoffrey E. Hinton, M. Puterman, G. Karypis, 2010, Encyclopedia of Machine Learning.