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» Experiments with a New Boosting Algorithm
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130
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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 7 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
CIKM
2006
Springer
15 years 7 months ago
Text classification improved through multigram models
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
167
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ICIP
2007
IEEE
15 years 3 months ago
Statistical Multiscale Image Segmentation via Alpha-Stable Modeling
This paper presents a new statistical image segmentation algorithm, in which the texture features are modeled by Symmetric Alpha-Stable (SαS) distributions. These features are ef...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
104
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AMC
2007
115views more  AMC 2007»
15 years 3 months ago
Evolutionary programming based on non-uniform mutation
Abstract–A new evolutionary programming algorithm (NEP) using the non-uniform mutation operator instead of Gaussian or Cauchy mutation operators is proposed. NEP has the merits o...
Xinchao Zhao, Xiao-Shan Gao, Ze-Chun Hu
167
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DKE
2007
199views more  DKE 2007»
15 years 3 months ago
QMatch - Using paths to match XML schemas
Integration of multiple heterogeneous data sources continues to be a critical problem for many application domains and a challenge for researchers world-wide. With the increasing ...
Naiyana Tansalarak, Kajal T. Claypool