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ICML
2007
IEEE
16 years 7 months ago
Discriminative learning for differing training and test distributions
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
Michael Brückner, Steffen Bickel, Tobias Sche...
ICML
2007
IEEE
16 years 7 months ago
Asymptotic Bayesian generalization error when training and test distributions are different
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Keisuke Yamazaki, Klaus-Robert Müller, Masash...
AGENTS
1998
Springer
15 years 11 months ago
A Multiagent Perspective of Parallel and Distributed Machine Learning
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
Gerhard Weiß
IIE
2006
108views more  IIE 2006»
15 years 6 months ago
Towards the Information Society - the Case of Finnnish Teacher Education
Abstract. The use of Information and Communication Technology (ICT) in education is one important competence that student teacher should develop in their academic studies. To be ca...
Johani Rautopuro, Susanna Pöntinen, Jari Kukk...
IPM
2006
88views more  IPM 2006»
15 years 6 months ago
Testing the cluster hypothesis in distributed information retrieval
How to merge and organise query results retrieved from different resources is one of the key issues in distributed information retrieval. Some previous research and experiments su...
Fabio Crestani, Shengli Wu