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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
13 years 9 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
ICIP
2003
IEEE
13 years 9 months ago
Image classification using multimedia knowledge networks
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
Ana B. Benitez, Shih-Fu Chang
RECOMB
2000
Springer
13 years 8 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
APIN
1999
107views more  APIN 1999»
13 years 4 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki