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NIPS
2008
13 years 9 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
WEBI
2005
Springer
14 years 1 months ago
Automatically Generating Labeled Examples for Web Wrapper Maintenance
In order to let software programs gain full benefit from semi-structured web sources, wrapper programs must be built to provide a “machine-readable” view over them. A signific...
Juan Raposo, Alberto Pan, Manuel Álvarez, J...
ECML
2003
Springer
14 years 26 days ago
A Generative Model for Semantic Role Labeling
Determining the semantic role of sentence constituents is a key task in determining sentence meanings lying behind a veneer of variant syntactic expression. We present a model of n...
Cynthia A. Thompson, Roger Levy, Christopher D. Ma...
MLMI
2007
Springer
14 years 1 months ago
Meeting State Recognition from Visual and Aural Labels
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
Jan Curín, Pascal Fleury, Jan Kleindienst, ...
SIGIR
2004
ACM
14 years 1 months ago
Parameterized generation of labeled datasets for text categorization based on a hierarchical directory
Although text categorization is a burgeoning area of IR research, readily available test collections in this field are surprisingly scarce. We describe a methodology and system (...
Dmitry Davidov, Evgeniy Gabrilovich, Shaul Markovi...