Y
Yong Wang
Researcher at University of Auckland
Publications - 34
Citations - 1601
Yong Wang is an academic researcher from University of Auckland. The author has contributed to research in topics: Density estimation & Nonparametric statistics. The author has an hindex of 12, co-authored 32 publications receiving 1464 citations. Previous affiliations of Yong Wang include University of Waikato.
Papers
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Journal ArticleDOI
Using Model Trees for Classification
TL;DR: Surprisingly, using this simple transformation the model tree inducer M5′, based on Quinlan's M5, generates more accurate classifiers than the state-of-the-art decision tree learner C5.0, particularly when most of the attributes are numeric.
Journal ArticleDOI
On fast computation of the non-parametric maximum likelihood estimate of a mixing distribution
TL;DR: In this paper, a fast algorithm for computing the nonparametric maximum likelihood estimate of a mixing distribution is presented, which adds new important points to the support set as guided by the gradient function, updates all mixing proportions via a quadratically convergent method and discards redundant support points straightaway.
Proceedings Article
Modeling for Optimal Probability Prediction
Yong Wang,Ian H. Witten +1 more
TL;DR: A general modeling method for optimal probability prediction over future observations is presented, in which model dimensionality is determined as a natural by-product, and it is established theoretically that they are optimal when the number of free parameters is infinite.
Journal ArticleDOI
Nonparametric multivariate density estimation using mixtures
Xuxu Wang,Yong Wang +1 more
TL;DR: A new method is proposed for nonparametric multivariate density estimation, which extends a general framework that has been recently developed in the univariate case based onNonparametric and semiparametric mixture distributions, and performs remarkably better than kernel-based density estimators.