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» Generating Rule Sets from Model Trees
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KDD
1999
ACM
104views Data Mining» more  KDD 1999»
15 years 2 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
DAGM
2007
Springer
15 years 4 months ago
Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach
In this paper we propose a generative statistical approach for the three dimensional (3D) extraction of the branching structure of unfoliaged deciduous trees from urban image seque...
Hai Huang, Helmut Mayer
ACMSE
2010
ACM
14 years 8 months ago
Automatic generation of model traversals from metamodel definitions
Developing software from models is a growing practice and there exist many model-based tools (e.g., model editors, model interpreters) for supporting model-driven engineering. Eve...
Tomaz Lukman, Marjan Mernik, Zekai Demirezen, Barr...
BMCBI
2008
86views more  BMCBI 2008»
14 years 10 months ago
Is plant mitochondrial RNA editing a source of phylogenetic incongruence? An answer from in silico and in vivo data sets
Background: In plant mitochondria, the post-transcriptional RNA editing process converts C to U at a number of specific sites of the mRNA sequence and usually restores phylogeneti...
Ernesto Picardi, Carla Quagliariello
GRC
2005
IEEE
15 years 3 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