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» New Binary Sequences With Optimal Autocorrelation Magnitude
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ICML
2009
IEEE
14 years 6 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 5 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
SAC
2009
ACM
14 years 9 days ago
GTfold: a scalable multicore code for RNA secondary structure prediction
The prediction of the correct secondary structures of large RNAs is one of the unsolved challenges of computational molecular biology. Among the major obstacles is the fact that a...
Amrita Mathuriya, David A. Bader, Christine E. Hei...
PASTE
2010
ACM
13 years 9 months ago
The RoadRunner dynamic analysis framework for concurrent programs
ROADRUNNER is a dynamic analysis framework designed to facilitate rapid prototyping and experimentation with dynamic analyses for concurrent Java programs. It provides a clean API...
Cormac Flanagan, Stephen N. Freund
ANCS
2009
ACM
13 years 3 months ago
LaFA: lookahead finite automata for scalable regular expression detection
Although Regular Expressions (RegExes) have been widely used in network security applications, their inherent complexity often limits the total number of RegExes that can be detec...
Masanori Bando, N. Sertac Artan, H. Jonathan Chao