241 search results - page 45 / 49 » Learning Classes of Probabilistic Automata |
CDC
2008
IEEE
13 years 7 months ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
JMLR
2010
13 years 2 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
CPE
2003
Springer
14 years 17 days ago
2003
Springer
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
RAID
2000
Springer
13 years 11 months ago
2000
Springer
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...