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ICMLA
2008
13 years 10 months ago
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
Michael Gashler, Christophe G. Giraud-Carrier, Ton...
RSA
2010
118views more  RSA 2010»
13 years 7 months ago
Weight of a link in a shortest path tree and the Dedekind Eta function
The weight of a randomly chosen link in the shortest path tree on the complete graph with exponential i.i.d. link weights is studied. The corresponding exact probability generatin...
Piet Van Mieghem
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
14 years 9 months ago
Using randomized response techniques for privacy-preserving data mining
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. S...
Wenliang Du, Zhijun Zhan
SIGMETRICS
2004
ACM
106views Hardware» more  SIGMETRICS 2004»
14 years 2 months ago
Performance analysis of BSTs in system software
Binary search tree (BST) based data structures, such as AVL trees, red-black trees, and splay trees, are often used in system software, such as operating system kernels. Choosing ...
Ben Pfaff
ICASSP
2010
IEEE
13 years 8 months ago
Language model adaptation using Random Forests
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
Anoop Deoras, Frederick Jelinek, Yi Su