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» Gaussian Processes for Machine Learning
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NIPS
1994
13 years 9 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...

Publication
170views
13 years 6 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
NIPS
2007
13 years 9 months ago
Learning with Transformation Invariant Kernels
This paper considers kernels invariant to translation, rotation and dilation. We show that no non-trivial positive definite (p.d.) kernels exist which are radial and dilation inv...
Christian Walder, Olivier Chapelle
ICALT
2009
IEEE
13 years 11 months ago
Automated Planning for Personalised Course Composition
Authoring tools for building Intelligent Educational Systems must provide support to ensure flexibility, adaptability of content to the user profile, reusability and sharing of le...
Antonio Garrido, Eva Onaindia, Oscar Sapena

Lab
623views
14 years 6 months ago
Learning and Vision Research Group @ NUS
Wel­come to Learn­ing and Vi­sion Re­search Group at the De­part­ment of Elec­tri­cal and Com­put­er En­gi­neer­ing, Na­tion­al Uni­ver­si­ty of Sin­ga­pore!