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131
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PRL
2010
149views more  PRL 2010»
14 years 9 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
110
Voted
COLING
2002
15 years 2 months ago
Modular MT with a Learned Bilingual Dictionary: Rapid Deployment of a New Language Pair
The MT system described in this paper combines hand-built analysis and generation components with automatically learned example-based transfer patterns. Up to now, the transfer co...
Jessie Pinkham, Martine Smets
136
Voted
CIKM
2008
Springer
15 years 4 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen
128
Voted
FLAIRS
2007
15 years 4 months ago
Knowledge Transfer in Deep Convolutional Neural Nets
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
137
Voted
ICALT
2006
IEEE
15 years 8 months ago
Adaptive e-Learning Methods and IMS Learning Design: An Integrated Approach
This position paper shows how several classical methods in adaptive learning can be addressed using IMS Learning Design. After a definition of four main questions to classify adap...
Daniel Burgos, Marcus Specht