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» Cluster analysis of heterogeneous rank data
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BMCBI
2010
182views more  BMCBI 2010»
14 years 9 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
70
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INFOCOM
2003
IEEE
15 years 3 months ago
Spectral Analysis of Internet Topologies
Abstract— We perform spectral analysis of the Internet topology at the AS level, by adapting the standard spectral filtering method of examining the eigenvectors corresponding t...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
CVPR
2012
IEEE
13 years 3 days ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
15 years 11 months ago
Distributed Structural Relaxation of XPath Queries
Due to the structural heterogeneity of XML, queries are often interpreted approximately. This is achieved by relaxing the query and ranking the results based on their relevance to ...
Georgia Koloniari, Evaggelia Pitoura
PVLDB
2010
146views more  PVLDB 2010»
14 years 4 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...