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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ECAI
2008
Springer
13 years 9 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
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...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
BMCBI
2008
219views more  BMCBI 2008»
13 years 7 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
EICS
2010
ACM
14 years 20 days ago
Using ensembles of decision trees to automate repetitive tasks in web applications
Web applications such as web-based email, spreadsheets and form filling applications have become ubiquitous. However, many of the tasks that users try to accomplish with such web ...
Zachary Bray, Per Ola Kristensson
IJON
2007
58views more  IJON 2007»
13 years 7 months ago
Flexible neural trees ensemble for stock index modeling
Yuehui Chen, Bo Yang, Ajith Abraham