277 search results - page 35 / 56 » Active Learning for Structure in Bayesian Networks |
137
click to vote
JMLR
2010
14 years 10 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
144
click to vote
JMLR
2008
15 years 3 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
129
click to vote
IMC
2007
ACM
15 years 4 months ago
2007
ACM
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
122
click to vote
ISNN
2007
Springer
15 years 9 months ago
2007
Springer
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
116
click to vote
JMLR
2000
15 years 3 months ago
2000
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...