11428 search results - page 266 / 2286 » Learning From Crowds |
167
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ISCAS
2003
IEEE
15 years 12 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
166
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ECTEL
2006
Springer
15 years 10 months ago
2006
Springer
The paper covers the topic from an e-learning provider's perspective on the basis of practical experience and discussions with corporate and SME partners. In this paper the au...
194
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ICALT
2009
IEEE
15 years 10 months ago
2009
IEEE
Nowadays, the Semantic Web technologies are exploited also in the e-learning domain in order to provide personalized and adaptive learning experiences, semantic annotation of lear...
190
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AAAI
2008
15 years 9 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
168
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...