889 search results - page 23 / 178 » Observational Learning in Random Networks |
NIPS
2000
13 years 11 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
AI
2007
Springer
14 years 3 months ago
2007
Springer
In this paper, we present an approach for recovering a topological map of the environment using only detection events from a deployed sensor network. Unlike other solutions to this...
CIKM
2009
Springer
14 years 4 months ago
2009
Springer
Given a set of peers with overlapping interests where each peer wishes to keep track of new documents that are relevant to their interests, we propose a self-organizing peerto-pee...
ICMLA
2007
13 years 11 months ago
2007
For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in e...
DSN
2006
IEEE
14 years 3 months ago
2006
IEEE
Randomized agreement protocols have been around for more than two decades. Often assumed to be inefficient due to their high expected communication and time complexities, they ha...