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SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 20 days 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...
ICTAI
2008
IEEE
15 years 4 months ago
Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
Frequent patterns in program executions represent recurring sequences of events. These patterns can be used to reveal the hidden structures of a program, and ease the comprehensio...
Chunying Zhao, Keven Ates, Jun Kong, Kang Zhang
CLEF
2009
Springer
14 years 11 months ago
Morphological Analysis by Multiple Sequence Alignment
In biological sequence processing, Multiple Sequence Alignment (MSA) techniques capture information about long-distance dependencies and the three-dimensional structure of protein ...
Tzvetan Tchoukalov, Christian Monson, Brian Roark
AAAI
2010
14 years 11 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
JMLR
2002
102views more  JMLR 2002»
14 years 9 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf