1380 search results - page 47 / 276 » On Universal Transfer Learning |
TNN
2011
13 years 4 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
CRYPTO
1995
Springer
14 years 1 months ago
1995
Springer
Abstract. In this paper we present an eficient protocol for “Committed Oblivious Transfer” to perform oblivious transfer on committed bits: suppose Alice is committed to bits 0...
IROS
2009
IEEE
14 years 4 months ago
2009
IEEE
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...