801 search results - page 95 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
142
Voted
AUSDM
2006
Springer
15 years 10 months 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...
165
Voted
SAGA
2001
Springer
15 years 10 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...
215
Voted
BMCBI
2007
15 years 6 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...
141
Voted
ALT
2003
Springer
15 years 9 months 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 ...
269
Voted
CIKM
2009
Springer
16 years 22 days 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...