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» From the Nearest Neighbour Rule to Decision Trees
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MICCAI
2003
Springer
16 years 18 days ago
Relative Performance of Geometric Search Algorithms for Interpolating Unstructured Mesh Data
Abstract. Interpolation of field data from unstructured meshes requires the potentially expensive identification of the finite element or volume within which the interpolating poin...
Mahdieh Khoshniat, Gordan R. Stuhne, David A. Stei...
CORR
2010
Springer
74views Education» more  CORR 2010»
14 years 11 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
SGAI
2007
Springer
15 years 5 months ago
Towards a Computationally Efficient Approach to Modular Classification Rule Induction
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...
Frederic T. Stahl, Max Bramer
JIIS
2000
120views more  JIIS 2000»
14 years 11 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...
VLSISP
2010
254views more  VLSISP 2010»
14 years 10 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...