2712 search results - page 164 / 543 » On learning algorithm selection for classification |
116
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
124
click to vote
COLT
2010
Springer
15 years 18 days ago
2010
Springer
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
118
Voted
ESANN
2004
15 years 4 months ago
2004
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
116
Voted
EMNLP
2010
15 years 18 days ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
113
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Structural alignments are the most widely used tools for comparing proteins with low sequence similarity. The main contribution of this paper is to derive various kernels on prote...