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IDA
2007
Springer
15 years 6 months ago
Combining Bagging and Random Subspaces to Create Better Ensembles
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
Pance Panov, Saso Dzeroski
100
Voted
ECAI
2006
Springer
15 years 3 months ago
Ensembles of Grafted Trees
Grafted trees are trees that are constructed using two methods. The first method creates an initial tree, while the second method is used to complete the tree. In this work, the fi...
Juan José Rodríguez, Jesús Ma...
IQ
2001
15 years 1 months ago
Information Envelope and its Information Integrity Implications
: Physical and informational works are strongly interrelated in a business process. This facilitates modeling a business process as an integral part of a closed loop information an...
Vijay V. Mandke, Madhavan K. Nayar, Kamna Malik
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 7 days ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
MMB
2012
Springer
259views Communications» more  MMB 2012»
13 years 7 months ago
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Un...