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ICML
2007
IEEE
14 years 6 months ago
Experimental perspectives on learning from imbalanced data
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napol...
ICML
2002
IEEE
14 years 6 months ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper
JCDL
2006
ACM
75views Education» more  JCDL 2006»
13 years 11 months ago
Quantifying the accuracy of relational statements in Wikipedia: a methodology
The Perseus Project at Tufts University produces tools to enhance the study of humanities texts. Perseus’ new named-entity browser lets users browse an index of references to pe...
Gabriel Weaver, Barbara Strickland, Gregory Crane
CT
2001
Springer
13 years 10 months ago
Experimental Politics: Ways of Virtual Worldmaking
We think that Massively Multi-user Online Role-Playing Games (MMORPGs) will soon evolve into Online Societies of political and economic interest. Studying them will require a metho...
Max Borders, Doug Bryan
FLAIRS
2008
13 years 8 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...