146 search results - page 28 / 30 » Learning with Neural Networks in the Domain of Graphs |
CIMCA
2005
IEEE
13 years 11 months ago
2005
IEEE
Given that road accidents occur in a real-time environment, simple crisp functions would barely provide an estimate of the gravity of the life situation. Fuzzy-based systems are a...
CORR
2004
Springer
13 years 5 months ago
2004
Springer
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
IPPS
2009
IEEE
14 years 12 days ago
2009
IEEE
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysi...
ICPR
2000
IEEE
14 years 6 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...