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COLT
2001
Springer
15 years 9 months ago
Geometric Bounds for Generalization in Boosting
We consider geometric conditions on a labeled data set which guarantee that boosting algorithms work well when linear classifiers are used as weak learners. We start by providing ...
Shie Mannor, Ron Meir
ATAL
2006
Springer
15 years 8 months ago
Using CHI-scores to reward honest feedback from repeated interactions
Online communities increasingly rely on reputation information to foster cooperation and deter cheating. As rational agents can often benefit from misreporting their observations,...
Radu Jurca, Boi Faltings
EGITALY
2006
15 years 5 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
CIKM
2009
Springer
15 years 2 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar
JIFS
2008
155views more  JIFS 2008»
15 years 4 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...