1900 search results - page 79 / 380 » Gaussian Processes in Machine Learning |
KDD
1994
ACM
14 years 1 months ago
1994
ACM
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
CVPR
1997
IEEE
14 years 11 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
ECTEL
2007
Springer
14 years 27 days ago
2007
Springer
Mobile learning (m-learning) integrates the current mobile computing technology with educational aspects to enhance the effectiveness of the traditional learning process. This pape...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
ECML
2006
Springer
14 years 19 days ago
2006
Springer
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...