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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 2 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
14 years 2 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
CANDT
2009
14 years 1 months ago
Please help!: patterns of personalization in an online tech support board
We analyze help-seeking strategies in two large tech support boards and observe a number of previously unreported differences between tech support boards and other types of online...
Sarita Yardi, Erika Shehan Poole
AMW
2009
13 years 11 months ago
Temporal Support in Sequential Pattern Mining
In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in th...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 10 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao