95 search results - page 15 / 19 » Core Vector Regression for very large regression problems |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
WSC
2007
13 years 10 months ago
2007
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...
DAC
2005
ACM
13 years 9 months ago
2005
ACM
The need to reuse the performance macromodels of an analog circuit topology challenges existing regression based modeling techniques. A model of good reusability should have a num...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...