1012 search results - page 124 / 203 » A Learning Classifier Approach to Tomography |
92
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
KDD
2002
ACM
16 years 1 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
75
Voted
JMLR
2002
15 years 9 days ago
2002
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
103
Voted
ECTEL
2007
Springer
15 years 6 months ago
2007
Springer
The success of the e-learning paradigm observed in recent times created a growing demand for e-learning systems in universities and other educational institutions, that itself led ...
102
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...