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» A Boosting Algorithm for Regression
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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 7 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...
AUSAI
2008
Springer
15 years 5 months ago
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
James R. Foulds, Eibe Frank
CIKM
2008
Springer
15 years 5 months ago
Query suggestion using hitting time
Generating alternative queries, also known as query suggestion, has long been proved useful to help a user explore and express his information need. In many scenarios, such sugges...
Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church
119
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MASCOTS
2001
15 years 4 months ago
PROFS-Performance-Oriented Data Reorganization for Log-Structured File System on Multi-Zone Disks
I/O is a major performance bottleneck in modern computer systems. Modern disks use the Zone-Bit-Recording (ZBR) technology to increase the capacity. A direct consequence of ZBR is...
Jun Wang, Yiming Hu
PAMI
2007
166views more  PAMI 2007»
15 years 2 months ago
A Comparison of Decision Tree Ensemble Creation Techniques
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...