1398 search results - page 192 / 280 » Bayesian actor-critic algorithms |
115
Voted
SAT
2005
Springer
15 years 8 months ago
2005
Springer
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
140
Voted
NIPS
1998
15 years 4 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
138
Voted
ICMCS
2009
IEEE
15 years 11 days ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
111
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this proble...
128
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...