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SIAMCO
2011
15 years 27 days ago
Asymptotically Optimal Controls for Time-Inhomogeneous Networks
Abstract. A framework is introduced for the identification of controls for single-class timevarying queueing networks that are asymptotically optimal in the so-called uniform acce...
Milica Cudina, Kavita Ramanan
JCIT
2010
148views more  JCIT 2010»
15 years 23 days ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
JMLR
2010
152views more  JMLR 2010»
15 years 23 days ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
JMLR
2010
145views more  JMLR 2010»
15 years 23 days ago
Parallelizable Sampling of Markov Random Fields
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...
James Martens, Ilya Sutskever
RE
2010
Springer
15 years 21 days ago
A UML-based static verification framework for security
Secure software engineering is a new research area that has been proposed to address security issues during the development of software systems. This new area of research advocates...
Igor Siveroni, Andrea Zisman, George Spanoudakis