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» A Hierarchical Latent Variable Model for Data Visualization
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CORR
2000
Springer
138views Education» more  CORR 2000»
13 years 8 months ago
Towards rule-based visual programming of generic visual systems
This paper illustrates how the diagram programming language DIAPLAN can be used to program visual systems. DIAPLAN is a visual rulebased language that is founded on the computation...
Berthold Hoffmann, Mark Minas
EUSFLAT
2009
142views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Multi-Dimensional Scaling applied to Hierarchical Rule Systems
Abstract-- This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dime...
Thomas R. Gabriel, Kilian Thiel, Michael R. Bertho...
SOFTVIS
2006
ACM
14 years 2 months ago
Semantic web data visualization with graph style sheets
Visual paradigms such as node-link diagrams are well suited to the representation of Semantic Web data encoded with the Resource Description Framework (RDF), whose data model can ...
Emmanuel Pietriga
ESANN
2006
13 years 10 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
14 years 10 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...