1380 search results - page 19 / 276 » On Universal Transfer Learning |
146
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AAAI
2006
15 years 6 months ago
2006
Related objects may look similar at low-resolutions; differences begin to emerge naturally as the resolution is increased. By learning across multiple resolutions of input, knowle...
176
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AAAI
2011
14 years 5 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
146
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FOCI
2007
IEEE
15 years 11 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
135
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
142
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ICRA
2006
IEEE
15 years 11 months ago
2006
IEEE
— This paper demonstrates a learning mechanism for complex tasks. Such tasks may be inherently expensive to learn in terms of training time and/or cost of obtaining each training...