662 search results - page 57 / 133 » Making inferences with small numbers of training sets |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
MICCAI
2008
Springer
14 years 10 months ago
2008
Springer
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
TIT
1998
13 years 8 months ago
1998
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
IJPRAI
2002
13 years 8 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
WWW
2006
ACM
14 years 9 months ago
2006
ACM
While much of the data on the web is unstructured in nature, there is also a significant amount of embedded structured data, such as product information on e-commerce sites or sto...