247 search results - page 19 / 50 » Superset Learning Based on Generalized Loss Minimization |
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
WWW
2006
ACM
15 years 10 months ago
2006
ACM
While much of the data on the web is unstructured in nature, there is also a significant amount of embedded structured data, such as product information on e-commerce sites or sto...
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KDD
2012
ACM
13 years 15 days ago
2012
ACM
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
CVPR
2007
IEEE
16 years 2 days ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...