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ESANN
2008
14 years 11 months ago
A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
This paper proposes a methodology named OP-ELM, based on a recent development
Yoan Miche, Patrick Bas, Christian Jutten, Olli Si...
ISMIS
2005
Springer
15 years 3 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
IUI
2005
ACM
15 years 3 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
ICML
2006
IEEE
15 years 10 months ago
Learning predictive state representations using non-blind policies
Michael H. Bowling, Peter McCracken, Michael James...
ICMLA
2009
14 years 7 months ago
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...