Sciweavers

1704 search results - page 36 / 341
» Modeling virtualized applications using machine learning tec...
Sort
View
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
15 years 3 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
ICML
2006
IEEE
15 years 10 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
MLQ
2011
14 years 16 days ago
Coding into HOD via normal measures with some applications
We develop a new method for coding sets while preserving gch in the presence of large cardinals, particularly supercompact cardinals. We will use the number of normal measures carr...
Arthur W. Apter, Shoshana Friedman
ISOLA
2010
Springer
14 years 8 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
IJCSA
2007
84views more  IJCSA 2007»
14 years 9 months ago
Real Time Model Checking Using Timed Concurrent State Machines
Timed Concurrent State Machines are an application of Alur’s Timed Automata concept to coincidence-based (rather than interleaving) CSM modeling technique. TCSM support the idea...
Wiktor B. Daszczuk