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139
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NIPS
2004
15 years 6 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
NAACL
2003
15 years 6 months ago
Inducing History Representations for Broad Coverage Statistical Parsing
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
James Henderson
COLING
2000
15 years 6 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
ESANN
1998
15 years 6 months ago
A neural approach to a sensor fusion problem
Our problem concerns the joint interpretation of UltraSonic and InfraRed measurements provided by a composite proximity sensor, in order to extract geometrical and morphological f...
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyn...
129
Voted
ECIS
2000
15 years 6 months ago
A Virtual Teaching Environment for Electronic Commerce
Electronic Commerce is now seen as the future direction of commerce. Organisations are now developing and implementing a wide range of electronic commerce systems However, before o...
Philip Joyce