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» Boosting Methods for Regression
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130
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TRECVID
2008
15 years 5 months ago
XJTU at TRECVID2008 High-Level Feature Extraction
In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some...
Zhe Wang, Guizhong Liu, Xueming Qian, Zhi Li, Danp...
120
Voted
AAAI
2006
15 years 5 months ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
135
Voted
EMNLP
2004
15 years 5 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
112
Voted
NAACL
2003
15 years 5 months ago
COGEX: A Logic Prover for Question Answering
Recent TREC results have demonstrated the need for deeper text understanding methods. This paper introduces the idea of automated reasoning applied to question answering and shows...
Dan I. Moldovan, Christine Clark, Sanda M. Harabag...
137
Voted
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 3 months ago
Pushdown Control-Flow Analysis of Higher-Order Programs
Context-free approaches to static analysis gain precision over classical approaches by perfectly matching returns to call sites-a property that eliminates spurious interprocedural...
Christopher Earl, Matthew Might, David Van Horn