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118
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NIPS
2001
15 years 1 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
NIPS
2001
15 years 1 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
AAAI
1998
15 years 1 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
126
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MIAR
2010
IEEE
14 years 11 months ago
Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences
Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel structures. The IVUS frames are acquired by pulling the ca...
Gozde Gul Isguder, Gözde B. Ünal, Martin...
SOCRATES
2008
115views Education» more  SOCRATES 2008»
15 years 1 months ago
Collaborative Online Learning: A Heterogeneous Phenomenon
This paper investigates the virtual seminar "Education and Socialization in Early Childhood" at the LudwigMaximilians-University, Munich. In this seminar, we focused on ...
Birgitta Kopp, Heinz Mandl