1010 search results - page 167 / 202 » Co-EM support vector learning |
PAMI
2006
13 years 10 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
JMLR
2002
13 years 9 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
SMC
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
EUROSYS
2006
ACM
14 years 7 months ago
2006
ACM
Computer problem diagnosis remains a serious challenge to users and support professionals. Traditional troubleshooting methods relying heavily on human intervention make the proce...