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» Towards Using Fewer Features for Text Classification
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ADC
2003
Springer
115views Database» more  ADC 2003»
15 years 3 months ago
Document Classification via Structure Synopses
Information available in the Internet is frequently supplied simply as plain ascii text, structured according to orthographic and semantic conventions. Traditional document classi...
Liping Ma, John Shepherd, Anh Nguyen
SOCIALCOM
2010
14 years 9 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
INFOCOM
2007
IEEE
15 years 6 months ago
Toward Tractable Computation of the Capacity of Multi-Hop Wireless Networks
— By posing the problem of bandwidth allocation as a constrained maximization problem, it is possible to study various features of optimal bandwidth allocation, and hence the cap...
Stephan Bohacek, Peng Wang
IS
2008
14 years 11 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
CVPR
2010
IEEE
15 years 8 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun