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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
ICML
2006
IEEE
16 years 7 months ago
Practical solutions to the problem of diagonal dominance in kernel document clustering
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Derek Greene, Padraig Cunningham
ICML
2005
IEEE
16 years 7 months ago
Experimental comparison between bagging and Monte Carlo ensemble classification
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
Roberto Esposito, Lorenza Saitta
WILF
2007
Springer
108views Fuzzy Logic» more  WILF 2007»
16 years 20 days ago
Recognizing Humor Without Recognizing Meaning
Abstract. We present a machine learning approach for classifying sentences as one-liner jokes or normal sentences. We use no deep analysis of the meaning to try to see if it is hum...
Jonas Sjöbergh, Kenji Araki
ACL
2001
15 years 8 months ago
Automated Subcategorization of Named Entities
There has been much interest in the recent past concerning the possibilities for automated categorization of named entities. The research presented here describes a method for the...
Michael Fleischman