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» Robustness of the Learning with Errors Assumption
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ICML
2008
IEEE
15 years 10 months ago
On multi-view active learning and the combination with semi-supervised learning
Multi-view learning has become a hot topic during the past few years. In this paper, we first characterize the sample complexity of multi-view active learning. Under the expansion...
Wei Wang, Zhi-Hua Zhou
CVPR
2000
IEEE
15 years 1 months ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...
WEBI
2010
Springer
14 years 7 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
HYBRID
2010
Springer
15 years 4 months ago
On integration of event-based estimation and robust MPC in a feedback loop
The main purpose of event-based control, if compared to periodic control, is to minimize data transfer or processing power in networked control systems. Current methods have an (i...
Joris Sijs, Mircea Lazar, W. P. M. H. Heemels
ML
2002
ACM
145views Machine Learning» more  ML 2002»
14 years 9 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold