346 search results - page 27 / 70 » A New Approximate Maximal Margin Classification Algorithm |
INFOCOM
2007
IEEE
14 years 1 months ago
2007
IEEE
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
JMLR
2002
13 years 7 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ICDE
2009
IEEE
14 years 2 months ago
2009
IEEE
— Large graphs and networks are abundant in modern information systems: entity-relationship graphs over relational data or Web-extracted entities, biological networks, social onl...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...