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COLING
2002
15 years 9 days ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler
90
Voted
ICANN
2003
Springer
15 years 5 months ago
Learning Rule Representations from Boolean Data
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
78
Voted
LREC
2010
156views Education» more  LREC 2010»
15 years 1 months ago
Learning Subjectivity Phrases missing from Resources through a Large Set of Semantic Tests
In recent years, blogs and social networks have particularly boosted interests for opinion mining research. In order to satisfy real-scale applicative needs, a main task is to cre...
Matthieu Vernier, Laura Monceaux, Béatrice ...
122
Voted
JAIR
2008
157views more  JAIR 2008»
15 years 14 days ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
82
Voted
ICASSP
2010
IEEE
14 years 10 months ago
Learning from other subjects helps reducing Brain-Computer Interface calibration time
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
Fabien Lotte, Cuntai Guan