709 search results - page 60 / 142 » The changing science of machine learning |
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
CVPR
2012
IEEE
12 years 2 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
ML
2010
ACM
13 years 7 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
SBIA
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ECSA
2010
Springer
13 years 9 months ago
2010
Springer
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users' require...