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ML
2002
ACM
145views Machine Learning» more  ML 2002»
15 years 6 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
ICMLC
2010
Springer
15 years 4 months ago
CMAC-based fault accommodation control for tank system
- This paper presents a learning approach using cerebellar model articulation controller (CMAC) to accommodate faults for a class of multivariable nonlinear systems. A CMAC is prop...
Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel ...
BMCBI
2007
116views more  BMCBI 2007»
15 years 6 months ago
Clustering protein environments for function prediction: finding PROSITE motifs in 3D
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...
Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, G...
EH
2003
IEEE
100views Hardware» more  EH 2003»
15 years 11 months ago
Learning for Evolutionary Design
This paper describes a technique for evolving similar solutions to similar configuration design problems. Using the configuration design of combination logic circuits as a testb...
Sushil J. Louis
ESOP
2003
Springer
15 years 11 months ago
A Tail-Recursive Semantics for Stack Inspections
Security folklore holds that a security mechanism based on stack inspection is incompatible with a global tail call optimization policy. An implementation of such a language may ha...
John Clements, Matthias Felleisen