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» Embedding Heterogeneous Data Using Statistical Models
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ER
2005
Springer
121views Database» more  ER 2005»
15 years 6 months ago
Agent Oriented Data Integration
Abstract. Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have bee...
Avigdor Gal, Aviv Segev, Christos Tatsiopoulos, Ko...
99
Voted
IJCSA
2007
100views more  IJCSA 2007»
15 years 11 days ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
118
Voted
GANDC
2011
93views more  GANDC 2011»
14 years 9 days ago
Bayesian spatial modeling and interpolation using copulas
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
Hannes Kazianka, Jürgen Pilz
137
Voted
TIP
2002
179views more  TIP 2002»
15 years 9 days ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
110
Voted
IADIS
2003
15 years 2 months ago
Towards a Distributed Information Architecture for Avionics Data
Avionics data at the National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL) consists of distributed, unmanaged, and heterogeneous information tha...
Chris Mattmann, Dana Freeborn, Daniel J. Crichton