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MLDM
2005
Springer
15 years 10 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
FOSSACS
2003
Springer
15 years 10 months ago
When Ambients Cannot Be Opened
rized Verification by Probabilistic Abstraction . . . . . . . . . . . . . . . . 87 Tamarah Arons, Amir Pnueli, Lenore Zuck Genericity and the π-Calculus . . . . . . . . . . . . ....
Iovka Boneva, Jean-Marc Talbot
AAAI
2010
15 years 6 months ago
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Aniruddh Nath, Pedro Domingos
AAAI
2006
15 years 6 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 5 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana