2712 search results - page 152 / 543 » On learning algorithm selection for classification |
130
Voted
ICML
1996
IEEE
15 years 6 months ago
1996
IEEE
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
132
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
141
Voted
PAMI
2006
15 years 2 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
98
Voted
ICML
2007
IEEE
16 years 3 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....
127
click to vote
ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...