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ICML
2008
IEEE
16 years 7 months ago
Training restricted Boltzmann machines using approximations to the likelihood gradient
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
Tijmen Tieleman
ECTEL
2009
Springer
15 years 9 months ago
ReMashed - Recommendations for Mash-Up Personal Learning Environments
Abstract. The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network....
Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin...
ICML
2003
IEEE
16 years 7 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
PRICAI
2000
Springer
15 years 10 months ago
A Comparative Study on Chinese Text Categorization Methods
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
Ji He, Ah-Hwee Tan, Chew Lim Tan
ECML
2006
Springer
15 years 10 months ago
(Agnostic) PAC Learning Concepts in Higher-Order Logic
This paper studies the PAC and agnostic PAC learnability of some standard function classes in the learning in higher-order logic setting introduced by Lloyd et al. In particular, i...
Kee Siong Ng