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ECML
2007
Springer
14 years 1 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...
SEMCO
2007
IEEE
14 years 1 months ago
2007
IEEE
Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In par...
HRI
2009
ACM
14 years 2 months ago
2009
ACM
A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner c...