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UAI
2000
15 years 9 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
JMLR
2006
156views more  JMLR 2006»
15 years 7 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
JUCS
2007
95views more  JUCS 2007»
15 years 7 months ago
A First Step Mapping IMS Learning Design and Moodle
: Mapping the specification IMS Learning Design and the Course Management System Moodle is a logical step forward on interoperability between eLearning systems and specifications i...
Daniel Burgos, Colin Tattersall, Martin Dougiamas,...
ML
2007
ACM
144views Machine Learning» more  ML 2007»
15 years 7 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
DAC
1998
ACM
16 years 8 months ago
WELD - An Environment for Web-based Electronic Design
Increasing size and geographical separation of design data and teams has created a need for a network-based electronic design environment that is scaleable, adaptable, secure, hig...
Francis L. Chan, Mark D. Spiller, A. Richard Newto...