977 search results - page 13 / 196 » Constructing informative priors using transfer learning |
EUROCRYPT
2005
Springer
14 years 1 months ago
2005
Springer
We present a general framework for constructing two-message oblivious transfer protocols using a modification of Cramer and Shoup’s notion of smooth projective hashing (2002). ...
ESANN
2001
13 years 9 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
IJCAI
2007
13 years 9 months ago
2007
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...