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CIDM
2009
IEEE
14 years 1 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
ICECCS
2005
IEEE
236views Hardware» more  ICECCS 2005»
14 years 9 days ago
Detecting Malicious JavaScript Code in Mozilla
The JavaScript language is used to enhance the clientside display of web pages. JavaScript code is downloaded into browsers and executed on-the-fly by an embedded interpreter. Br...
Oystein Hallaraker, Giovanni Vigna
BMCBI
2008
219views more  BMCBI 2008»
13 years 6 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
JMLR
2010
146views more  JMLR 2010»
13 years 1 months ago
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhar...
ICML
2008
IEEE
14 years 7 months ago
Detecting statistical interactions with additive groves of trees
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Dan...