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» Extremal Problems of Information Combining
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IMSCCS
2007
IEEE
14 years 3 months ago
Ensemble Subsurface Modeling Using Grid Computing Technology
Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...
MICAI
2007
Springer
14 years 3 months ago
Taking Advantage of the Web for Text Classification with Imbalanced Classes
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 9 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
INFORMS
2007
123views more  INFORMS 2007»
13 years 9 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
ICDAR
2009
IEEE
14 years 4 months ago
An RDF-Based Blackboard Architecture for Improving Table Analysis
Table analysis is a complex problem, involving searching solutions from a large search space. Studies show that finding the most credible answers to complex problems often requir...
Vanessa Long