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JMLR
2010
123views more  JMLR 2010»
15 years 4 months ago
Maximum Relative Margin and Data-Dependent Regularization
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
Pannagadatta K. Shivaswamy, Tony Jebara
PVLDB
2010
134views more  PVLDB 2010»
15 years 4 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
COLT
2010
Springer
15 years 4 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
15 years 3 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
AI
2011
Springer
15 years 1 months ago
The extended global cardinality constraint: An empirical survey
The Extended Global Cardinality Constraint (EGCC) is a vital component of constraint solving systems, since it is very widely used to model diverse problems. The literature contai...
Peter Nightingale