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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
CORR
2010
Springer
209views Education» more  CORR 2010»
13 years 10 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
CLIN
2003
13 years 11 months ago
Methods for the Extraction of Hungarian Multi-Word Lexemes
This paper describes an experiment on extracting Hungarian multi-word lexemes from a corpus, using statistical methods. Corpus preparation—the addition of POS tags and stems—w...
Balázs Kis, Begoña Villada, Gosse Bo...
ICCV
2009
IEEE
15 years 3 months ago
Factorizing Scene Albedo and Depth from a Single Foggy Image
Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. Restoring the true scene colors (clear day image) from a single imag...
Louis Kratz, Ko Nishino
VISSYM
2007
14 years 15 days ago
Visualization of Uncertainty in Lattices to Support Decision-Making
Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible...
Christopher Collins, M. Sheelagh T. Carpendale, Ge...