502 search results - page 38 / 101 » Learning from General Label Constraints |
JMLR
2006
13 years 8 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
NIPS
2004
13 years 10 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
COLT
2005
Springer
13 years 10 months ago
2005
Springer
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
CCR
2010
13 years 8 months ago
2010
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
MM
2004
ACM
14 years 2 months ago
2004
ACM
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...