Browsing by Author "Wang, Yong"
Now showing items 1-5 of 6
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A new approach to fitting linear models in high dimensional spaces
(The University of Waikato, 2000)This thesis presents a new approach to fitting linear models, called “pace regression”, which also overcomes the dimensionality determination problem. Its optimality in minimizing the expected prediction loss is theoretically ... -
Clustering with finite data from semi-parametric mixture distributions
(Dept. of Computer Science, University of Waikato, 1999-11)Existing clustering methods for the semi-parametric mixture distribution perform well as the volume of data increases. However, they all suffer from a serious drawback in finite-data situations: small outlying groups of ... -
Induction of model trees for predicting continuous classes
(1996-10)Many problems encountered when applying machine learning in practice involve predicting a "class" that takes on a continuous numeric value, yet few machine learning schemes are able to do this. This paper describes a ... -
Modeling for optimal probability prediction
(Morgan Kaufmann Publishers Inc., 2002)We present a general modelling method for optimal probability prediction over future observations, in which model dimensionality is determined as a natural by-product. This new method yields several estimators, and we ... -
Pace Regression
(Computer Science, University of Waikato, 1999-09)This paper articulates a new method of linear regression, “pace regression”, that addresses many drawbacks of standard regression reported in the literature-particularly the subset selection problem. Pace regression improves ...
