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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 2 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»
15 years 2 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
15 years 3 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
16 years 7 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
15 years 4 months 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...