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» A Machine Learning Approach to Information Extraction
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ECML
2007
Springer
14 years 2 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
ECTEL
2006
Springer
13 years 11 months ago
Multimedia Authoring for CoPs
One way of providing technological support for CoPs is to help participants to produce, structure and share information. As this information becomes more and more multimedia in nat...
Romain Deltour, Agnès Guerraz, Cécil...
ALT
2010
Springer
13 years 9 months ago
Consistency of Feature Markov Processes
We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed t...
Peter Sunehag, Marcus Hutter
ISMB
1993
13 years 9 months ago
Representation for Discovery of Protein Motifs
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
Darrell Conklin, Suzanne Fortier, Janice I. Glasgo...
ICML
2010
IEEE
13 years 9 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey