8970 search results - page 139 / 1794 » Learning to Learn Causal Models |
163
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
167
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NIPS
1992
15 years 5 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
123
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CE
2007
15 years 4 months ago
2007
The rapid development of computer and Internet technologies has made e-Learning become an important learning method. There has been a considerable increase in the needs for multim...
193
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ICMCS
2009
IEEE
15 years 2 months ago
2009
IEEE
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
176
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ML
2010
ACM
14 years 11 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...