4591 search results - page 153 / 919 » Learning from Dyadic Data |
127
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ISCAS
2003
IEEE
15 years 9 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...
178
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AAAI
2010
15 years 5 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
148
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ICANN
2010
Springer
15 years 5 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
116
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NLPRS
2001
Springer
15 years 8 months ago
2001
Springer
WeproposeanewapproachtoEMlearning of PCFGs. We completely separate the process of EM learning from that of parsing, andfor theformer, weintroduce a new EM algorithm called the gra...
135
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ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...