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IDA
2006
Springer
14 years 9 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
EMNLP
2010
14 years 7 months ago
Constraints Based Taxonomic Relation Classification
Determining whether two terms in text have an ancestor relation (e.g. Toyota and car) or a sibling relation (e.g. Toyota and Honda) is an essential component of textual inference ...
Quang Do, Dan Roth
TSE
2002
157views more  TSE 2002»
14 years 9 months ago
Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects
A number of papers have investigated the relationships between design metrics and the detection of faults in object-oriented software. Several of these studies have shown that suc...
Lionel C. Briand, Walcélio L. Melo, Jü...
CEAS
2006
Springer
15 years 1 months ago
Fast Uncertainty Sampling for Labeling Large E-mail Corpora
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
Richard Segal, Ted Markowitz, William Arnold
ICCV
2011
IEEE
13 years 9 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr