1104 search results - page 9 / 221 » Ensemble classification based on generalized additive models |
KDD
2001
ACM
14 years 9 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
ML
2002
ACM
13 years 8 months ago
2002
ACM
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
IEEEICCI
2009
IEEE
14 years 3 months ago
2009
IEEE
The OpenBiomind toolkit is used to apply GA, GP and local search methods to analyze a large SNP dataset concerning late-onset Alzheimers disease (LOAD). Classification models iden...
ECAI
2008
Springer
13 years 10 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...