377 search results - page 37 / 76 » Learning Bayesian networks from data: An information-theory ... |
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
BMCBI
2005
13 years 7 months ago
2005
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
NIPS
1992
13 years 8 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
ESANN
2006
13 years 9 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...