3718 search results - page 10 / 744 » On learning with dissimilarity functions |
AAAI
2010
13 years 4 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
ICMLC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
MCS
2007
Springer
14 years 2 months ago
2007
Springer
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...