295 search results - page 48 / 59 » An iterative unsupervised learning method for information di... |
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
AMDO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. A new algorithm for the incremental learning and non-intrusive tracking of the appearance of a previously non-seen face is presented. The computation is done in a causal ...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
FUIN
2010
13 years 2 months ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
JMLR
2010
13 years 2 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...