2487 search results - page 59 / 498 » Automatic Model Selection by Modelling the Distribution of R... |
CORR
2007
Springer
14 years 9 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
105
click to vote
ASIAN
2003
Springer
15 years 3 months ago
2003
Springer
Protocols for distributed systems make often use of random transitions to achieve a common goal. A popular example are randomized leader election protocols. We introduce probabilis...
ACL
2008
14 years 11 months ago
2008
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
ATC
2006
Springer
15 years 1 months ago
2006
Springer
Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-s...
NIPS
2007
14 years 11 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...