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ICML
2001
IEEE
16 years 4 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
16 years 1 months ago
Tagging Human Knowledge
A fundamental premise of tagging systems is that regular users can organize large collections for browsing and other tasks using uncontrolled vocabularies. Until now, that premise...
Paul Heymann, Andreas Paepcke, Hector Garcia-Molin...
SIGIR
2009
ACM
15 years 10 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
CISS
2007
IEEE
15 years 10 months ago
Interference Mitigating in Wireless Networks Using Prior Knowledge
Abstract— We propose a framework to mitigate the interference in high data rate mobile wireless networking. Interference is a fundamental obstacle to achieve high data rates in w...
Kejing Liu, Stephan Bohacek, Javier Garcia-Frias
110
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DIGITALCITIES
2001
Springer
15 years 8 months ago
Knowledge-Based Economic Services Supported by Digital Experiments
Successful knowledge-based strategies for organizations require to build digital experiments which combine the power of networked information technologies like the Internet and the...
Dieter Rehfeld, Ileana Hamburg