889 search results - page 13 / 178 » Observational Learning in Random Networks |
136
click to vote
CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
— There has been much recent interest in protocol design for wireless networks based on maximizing a network utility function. A significant advance in recent years is the obser...
112
Voted
NIPS
2008
15 years 1 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
JOCN
2010
14 years 7 months ago
2010
When exposed to novel dynamical conditions (e.g., externally imposed forces), neurologically intact subjects easily adjust motor commands on the basis of their own reaching errors...
69
Voted
ICANN
2009
Springer
15 years 7 months ago
2009
Springer
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
119
Voted
INFOCOM
2012
IEEE
13 years 2 months ago
2012
IEEE
Abstract—Despite recent efforts to characterize complex networks such as citation graphs or online social networks (OSNs), little attention has been given to developing tools tha...