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» The new iris data: modular data generators
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GRC
2005
IEEE
14 years 1 months ago
Discovering and ranking important rules
— Decision rules generated from reducts can fully describe a data set. We introduce a new method of evaluating rules by taking advantage of rough sets theory. We consider rules g...
Jiye Li, Nick Cercone
BMCBI
2007
133views more  BMCBI 2007»
13 years 7 months ago
GenMAPP 2: new features and resources for pathway analysis
Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for ...
Nathan Salomonis, Kristina Hanspers, Alexander C. ...
SAC
2009
ACM
14 years 10 days ago
Self-organized control of knowledge generation in pervasive computing systems
Pervasive computing devices (e.g., sensor networks, localization devices, cameras, etc.) are increasingly present in every aspect of our lives. These devices are able to generate ...
Gabriella Castelli, Ronaldo Menezes, Franco Zambon...
ESOP
2007
Springer
14 years 1 months ago
Using History Invariants to Verify Observers
Abstract. This paper contributes a technique that expands the set of object invariants that one can reason about in modular verification. The technique uses history invariants, tw...
K. Rustan M. Leino, Wolfram Schulte
PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
12 years 10 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang