1077 search results - page 25 / 216 » Learning network structure from passive measurements |
ECAL
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which...
BIBE
2008
IEEE
13 years 9 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
SIGMETRICS
2003
ACM
14 years 28 days ago
2003
ACM
Empirical evidence suggests that reactive routing systems improve resilience to Internet path failures. They detect and route around faulty paths based on measurements of path per...
ESOP
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
WMTE
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper we report early findings from a sample of Australian participants using Nokia’s Lifeblog software on mobile phones to record aspects of living and learning in both...