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CIKM
2008
Springer
15 years 7 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
WWW
2004
ACM
16 years 6 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee
ICALT
2005
IEEE
15 years 11 months ago
Flexible and Exploratory Learning by Polyscopic Topic Maps
Flexible and active education calls for a comprehensive restructuring of the traditional university course format. Such restructuring can be done in a natural and coherent way by ...
Dino Karabeg, Rolf Guescini, Tommy W. Nordeng
ICML
2001
IEEE
16 years 6 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
SIGSOFT
2006
ACM
16 years 6 months ago
Testing context-aware middleware-centric programs: a data flow approach and an RFID-based experimentation
Pervasive context-aware software is an emerging kind of application. Smart personal digital assistants and RFID-based location sensing software are two examples. Many of these sys...
Heng Lu, W. K. Chan, T. H. Tse