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JMLR
2008
137views more  JMLR 2008»
14 years 10 months ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
15 years 10 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
CASES
2005
ACM
15 years 2 days ago
MTSS: multi task stack sharing for embedded systems
Out-of-memory errors are a serious source of unreliability in most embedded systems [22]. Applications run out of main memory because of the frequent difficulty of estimating the ...
Bhuvan Middha, Matthew Simpson, Rajeev Barua
CSDA
2008
102views more  CSDA 2008»
14 years 10 months ago
Step-up and step-down procedures controlling the number and proportion of false positives
In multiple hypotheses testing, it is important to control the probability of rejecting "true" null hypotheses. A standard procedure has been to control the family-wise ...
Paul N. Somerville, Claudia Hemmelmann
POPL
2010
ACM
15 years 7 months ago
Nominal System T
This paper introduces a new recursion principle for inductive data modulo -equivalence of bound names. It makes use of Oderskystyle local names when recursing over bound names. It...
Andrew M. Pitts