1174 search results - page 68 / 235 » Boosting for transfer learning |
COGSCI
2007
15 years 1 months ago
2007
Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused...
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
140
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PAMI
2012
13 years 3 months ago
2012
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
107
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COLING
2010
14 years 8 months ago
2010
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...