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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 10 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...
ECLIPSE
2005
ACM
15 years 8 months ago
eAssignment: a case for EMF
Developing Eclipse plug-ins often involves the creation of data structures and corresponding data processing code. In developing eAssignment, an Eclipse-bases application to suppo...
Marcel Bruch, Christoph Bockisch, Thorsten Sch&aum...
AAAI
2008
15 years 9 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
16 years 27 days ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture
DFT
2005
IEEE
200views VLSI» more  DFT 2005»
16 years 14 days ago
Data Dependent Jitter (DDJ) Characterization Methodology
A new jitter model is developed using Matlab and Spice to analyze Data Dependent Jitter (DDJ) in serial data integrated circuits. The simulation results show that DDJ is dependent...
Kyung Ki Kim, Yong-Bin Kim, Fabrizio Lombardi