80 search results - page 6 / 16 » On the Learnability and Design of Output Codes for Multiclas... |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
TSMC
2011
13 years 2 months ago
2011
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
CIARP
2006
Springer
13 years 11 months ago
2006
Springer
Error correcting output codes (ECOC) represent a successful extension of binary classifiers to address the multiclass problem. Lately, the ECOC framework was extended from the bina...
FLAIRS
2007
13 years 10 months ago
2007
Recent work highlights advantages in decomposing multiclass decision problems into multiple binary problems. Several strategies have been proposed for this decomposition. The most...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...