146 search results - page 21 / 30 » Learning with Neural Networks in the Domain of Graphs |
NN
2008
Springer
14 years 9 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
JMLR
2008
14 years 9 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
NIPS
2008
14 years 11 months ago
2008
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
FLAIRS
2006
14 years 11 months ago
2006
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...