3411 search results - page 2 / 683 » Adaptive Transfer Learning |
ICONIP
2010
13 years 9 months ago
2010
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
AAAI
2011
12 years 11 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
NIPS
2008
14 years 8 days ago
2008
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
TKDE
2010
13 years 9 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
EUROCRYPT
2007
Springer
14 years 5 months ago
2007
Springer
We study an adaptive variant of oblivious transfer in which a sender has N messages, of which a receiver can adaptively choose to receive k one-after-the-other, in such a way that ...