889 search results - page 2 / 178 » Observational Learning in Random Networks |
NIPS
1996
13 years 6 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
13 years 6 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
13 years 4 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
14 years 5 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
13 years 2 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...