148 search results - page 6 / 30 » Learning a kernel function for classification with small tra... |
KDD
2005
ACM
14 years 7 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
JMLR
2002
13 years 7 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
COLT
1998
Springer
13 years 11 months ago
1998
Springer
This paper concerns the use of real-valued functions for binary classification problems. Previous work in this area has concentrated on using as an error estimate the `resubstitut...