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KDD
2009
ACM
187views Data Mining» more  KDD 2009»
15 years 10 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
ECAI
2008
Springer
14 years 11 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
ICIP
2005
IEEE
15 years 11 months ago
Countering oversegmentation in partitioning-based connectivities
A new theoretical development is presented for handling the over-segmentation problem in partitioning-based connected openings. The definition we propose treats singletons generat...
Georgios K. Ouzounis, Michael H. F. Wilkinson
GBRPR
2005
Springer
15 years 3 months ago
A Direct Algorithm to Find a Largest Common Connected Induced Subgraph of Two Graphs
Abstract. We present a direct algorithm that computes a largest common connected induced subgraph of two given graphs. It is based on an efficient generation of the common connecte...
Bertrand Cuissart, Jean-Jacques Hébrard
DIMACS
2001
14 years 11 months ago
On the Number of Connected Components of the Relative Closure of a Semi-Pfaffian Family
The notion of relative closure (X, Y )0 of a semi-Pfaffian couple (X, Y ) was introduced by Gabrielov to give a description of the o-minimal structure generated by Pfaffian functio...
Andrei Gabrielov, Thierry Zell