801 search results - page 42 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
AAAI
2008
13 years 11 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
FLAIRS
2008
13 years 11 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
STACS
1999
Springer
14 years 28 days ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— This paper reports a new document retrieval method using non-relevant documents. Especially, this paper reports a comparison of retrieval efficiency between One Class Support ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...