889 search results - page 16 / 178 » Observational Learning in Random Networks |
130
click to vote
COLT
2007
Springer
15 years 4 months ago
2007
Springer
We study generalized bootstrapped confidence regions for the mean of a random vector whose coordinates have an unknown dependence structure, with a non-asymptotic control of the co...
134
click to vote
CORR
2010
Springer
15 years 15 days ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
133
click to vote
JMLR
2008
15 years 11 days ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
113
Voted
ITS
2010
Springer
15 years 5 months ago
2010
Springer
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
101
Voted
BIBE
2006
IEEE
15 years 6 months ago
2006
IEEE
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...