ESANN
2007
13 years 5 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
LREC
2010
13 years 5 months ago
2010
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
EWLR
1997
Springer
13 years 8 months ago
1997
Springer
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
ISBI
2006
IEEE
13 years 10 months ago
2006
IEEE
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
CGO
2009
IEEE
13 years 11 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...