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ICML
2005
IEEE
14 years 10 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 3 months ago
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
ATVA
2006
Springer
112views Hardware» more  ATVA 2006»
14 years 25 days ago
Synthesis for Probabilistic Environments
In synthesis we construct finite state systems from temporal specifications. While this problem is well understood in the classical setting of non-probabilistic synthesis, this pap...
Sven Schewe
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 9 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
CCS
2006
ACM
14 years 25 days ago
Secure information flow with random assignment and encryption
Type systems for secure information flow aim to prevent a program from leaking information from variables classified as H to variables classified as L. In this work we extend such...
Geoffrey Smith