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» Making inferences with small numbers of training sets
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AI
2001
Springer
15 years 4 months ago
A Case Study for Learning from Imbalanced Data Sets
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...
Aijun An, Nick Cercone, Xiangji Huang
CVIU
2004
125views more  CVIU 2004»
14 years 11 months ago
Efficient detection under varying illumination conditions and image plane rotations
This paper focuses on the detection of objects with a Lambertian surface under varying illumination and pose. We offer to apply a novel detection method that proceeds by modeling ...
Margarita Osadchy, Daniel Keren
ESA
1999
Springer
82views Algorithms» more  ESA 1999»
15 years 4 months ago
Quartet Cleaning: Improved Algorithms and Simulations
A critical step in all quartet methods for constructing evolutionary trees is the inference of the topology for each set of four sequences (i.e. quartet). It is a well–known fact...
Vincent Berry, Tao Jiang, Paul E. Kearney, Ming Li...
WWW
2008
ACM
16 years 13 days ago
Learning deterministic regular expressions for the inference of schemas from XML data
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
Geert Jan Bex, Wouter Gelade, Frank Neven, Stijn V...
FUZZIEEE
2007
IEEE
15 years 6 months ago
Self-Fuzzification Method According to Typicality Correlation for Classification on Tiny Data Sets
— This article presents a self-fuzzification method to enhance the settings of a Fuzzy Reasoning Classification adapted to the automated inspection of wooden boards. The supervis...
Emmanuel Schmitt, Vincent Bombardier, Patrick Char...