11 search results - page 1 / 3 » Learning Large Margin First Order Decision Lists for Multi-C... |
DIS
2009
Springer
14 years 1 months ago
2009
Springer
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...