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EMNLP
2008
13 years 9 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
BMCBI
2006
151views more  BMCBI 2006»
13 years 7 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
ICST
2009
IEEE
13 years 5 months ago
An Empirical Evaluation of Automated Black Box Testing Techniques for Crashing GUIs
This paper reports an empirical evaluation of four blackbox testing techniques for crashing programs through their GUI interface: SH, AF, DH, and BxT. The techniques vary in their...
Cristiano Bertolini, Glaucia Peres, Marcelo d'Amor...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
13 years 11 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 4 months ago
An In-depth Analysis of Spam and Spammers
Electronic mail services have become an important source of communication for millions of people all over the world. Due to this tremendous growth, there has been a significant in...
Dhinaharan Nagamalai, Beatrice Cynthia Dhinakaran,...