697 search results - page 14 / 140 » Learning a Hidden Hypergraph |
187
Voted
FCT
2009
Springer
16 years 28 days ago
2009
Springer
Suppose that we are given a set of n elements d of which are “defective”. A group test can check for any subset, called a pool, whether it contains a defective. It is well know...
160
Voted
UAI
2004
15 years 7 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
194
Voted
PKDD
2009
Springer
16 years 27 days ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
151
Voted
ICIP
2004
IEEE
16 years 8 months ago
2004
IEEE
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
170
Voted
ICALP
2004
Springer
15 years 11 months ago
2004
Springer
We consider the problem of learning a labeled graph from a given family of graphs on n vertices in a model where the only allowed operation is to query whether a set of vertices i...