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» Electronic case studies: a problem-based learning approach
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JMLR
2010
144views more  JMLR 2010»
15 years 8 days ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
KBS
2007
106views more  KBS 2007»
15 years 5 months ago
A cognitive approach for agent-based personalized recommendation
There is an increasing need for various e-service, e-commerce and e-business sites to provide personalized recommendations to on-line customers. This paper proposes a new type of ...
Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh
ICML
2002
IEEE
16 years 6 months ago
On generalization bounds, projection profile, and margin distribution
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
Ashutosh Garg, Sariel Har-Peled, Dan Roth
NIPS
2000
15 years 6 months ago
Ensemble Learning and Linear Response Theory for ICA
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
Pedro A. d. F. R. Højen-Sørensen, Ol...
CVPR
2010
IEEE
16 years 1 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...