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ICMLA
2009
14 years 9 months ago
Structured Prediction with Relative Margin
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Pannagadatta K. Shivaswamy, Tony Jebara
ICDE
2006
IEEE
95views Database» more  ICDE 2006»
16 years 1 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
ACL
2009
14 years 9 months ago
Word or Phrase? Learning Which Unit to Stress for Information Retrieval
The use of phrases in retrieval models has been proven to be helpful in the literature, but no particular research addresses the problem of discriminating phrases that are likely ...
Young-In Song, Jung-Tae Lee, Hae-Chang Rim
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 2 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
ICML
2004
IEEE
16 years 16 days ago
A hierarchical method for multi-class support vector machines
We introduce a framework, which we call Divide-by-2 (DB2), for extending support vector machines (SVM) to multi-class problems. DB2 offers an alternative to the standard one-again...
Volkan Vural, Jennifer G. Dy