348 search results - page 11 / 70 » Learning on the Test Data: Leveraging Unseen Features |
ISNN
2007
Springer
14 years 3 months ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
ICGA
2007
13 years 9 months ago
2007
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
ASYNC
2006
IEEE
14 years 3 months ago
2006
IEEE
We propose a low-overhead method for delay fault testing in high-speed asynchronous pipelines. The key features of our work are: (i) testing strategies can be administered using l...