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» Boosting-Based Learning Agents for Experience Classification
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IAT
2006
IEEE
13 years 10 months ago
Boosting-Based Learning Agents for Experience Classification
Po-Chun Chen, Xiaocong Fan, Shizhuo Zhu, John Yen
AAAI
2006
13 years 6 months ago
Comparative Experiments on Sentiment Classification for Online Product Reviews
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
Hang Cui, Vibhu O. Mittal, Mayur Datar
ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 4 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
BMCBI
2005
118views more  BMCBI 2005»
13 years 4 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
CCIA
2006
Springer
13 years 8 months ago
Learning from cooperation using justifications
In multi-agent systems, individual problem solving capabilities can be improved thanks to the interaction with other agents. In the classification problem solving task each agent i...
Eloi Puertas, Eva Armengol