1014 search results - page 73 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
AAAI
2010
13 years 9 months ago
2010
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergr...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...