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AUSAI
2006
Springer
15 years 7 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 7 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
AUSAI
2003
Springer
15 years 7 months ago
On Why Discretization Works for Naive-Bayes Classifiers
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
Ying Yang, Geoffrey I. Webb
JMLR
2006
107views more  JMLR 2006»
15 years 3 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
Di-Rong Chen, Tao Sun
CHI
2007
ACM
16 years 4 months ago
Learning shape writing by game playing
We present a computer game designed to efficiently and playfully teach users shape writing ? a new text entry method for pen-based devices. Keywords Text entry, mobile devices, sh...
Per Ola Kristensson, Shumin Zhai