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WAPCV
2007
Springer
14 years 11 days ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
NIPS
2004
13 years 7 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ATAL
2010
Springer
13 years 7 months ago
2010
Springer
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...