801 search results - page 95 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
AUSDM
2006
Springer
14 years 17 days ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
SAGA
2001
Springer
14 years 1 months ago
2001
Springer
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
BMCBI
2007
13 years 9 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
ALT
2003
Springer
14 years 14 days ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...