495 search results - page 26 / 99 » Learning to generalize for complex selection tasks |
180
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CCECE
2006
IEEE
15 years 9 months ago
2006
IEEE
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
157
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TNN
2010
14 years 10 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
142
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NIPS
1997
15 years 5 months ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
154
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...
135
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ECAL
2007
Springer
15 years 10 months ago
2007
Springer
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...