990 search results - page 54 / 198 » Learning with non-positive kernels |
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PRIB
2009
Springer
15 years 4 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
IJCAI
2007
14 years 11 months ago
2007
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
CIDM
2007
IEEE
15 years 2 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...