148 search results - page 15 / 30 » Learning a kernel function for classification with small tra... |
AAAI
1998
13 years 10 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
PCM
2004
Springer
14 years 2 months ago
2004
Springer
Sports videos have special characteristics such as well-defined video structure, specialized sports syntax, and some canonical view types. In this paper, we proposed an online lear...
DATE
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— This paper discusses the generation of informationrich, arbitrarily-large synthetic data sets which can be used to (a) efficiently learn tests that correlate a set of ...
NIPS
2004
13 years 10 months ago
2004
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
ESANN
2008
13 years 10 months ago
2008
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...