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» Ensemble classification based on generalized additive models
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SIGIR
2004
ACM
14 years 2 months ago
Web-page classification through summarization
Web-page classification is much more difficult than pure-text classification due to a large variety of noisy information embedded in Web pages. In this paper, we propose a new Web...
Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng, Be...
ECAI
2008
Springer
13 years 10 months ago
A General Model for Epistemic State Revision using Plausibility Measures
In this paper, we present a general revision model on epistemic states based on plausibility measures proposed by Friedman and Halpern. We propose our revision strategy and give so...
Jianbing Ma, Weiru Liu
ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 8 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
NECO
2008
106views more  NECO 2008»
13 years 8 months ago
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
We consider a formal model of stimulus encoding with a circuit consisting of a bank of filters and an ensemble of integrate-and-fire neurons. Such models arise in olfactory system...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
PAMI
2008
119views more  PAMI 2008»
13 years 8 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes