889 search results - page 2 / 178 » Observational Learning in Random Networks |
71
Voted
NIPS
1996
14 years 10 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
NIPS
2007
14 years 11 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
ATAL
2009
Springer
14 years 7 months ago
2009
Springer
This paper is motivated by some recent, intriguing research results involving agent-organized networks (AONs). In AONs, nodes represent agents, and collaboration between nodes are...