553 search results - page 84 / 111 » Bayesian network learning algorithms using structural restri... |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
EDM
2008
13 years 10 months ago
2008
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
NIPS
1994
13 years 9 months ago
1994
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...