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» Methods for Binary Multidimensional Scaling
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CEC
2010
IEEE
13 years 8 months ago
A binary Particle Swarm Optimization approach to fault diagnosis in parallel and distributed systems
— The efficient diagnosis of hardware and software faults in parallel and distributed systems remains a challenge in today’s most prolific decentralized environments. System-...
Rafael Falcón, Marcio Almeida, Amiya Nayak
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 3 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
INFORMATICALT
2008
92views more  INFORMATICALT 2008»
13 years 9 months ago
On Structural Analysis of Parliamentarian Voting Data
We investigate applicability of quantitative methods to discover the most fundamental structural properties of the most reliable political data in Lithuania. Namely, we analyze vot...
Tomas Krilavicius, Antanas Zilinskas
ICML
2009
IEEE
14 years 10 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
DAWAK
2000
Springer
14 years 2 months ago
COFE: A Scalable Method for Feature Extraction from Complex Objects
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
Gabriela Hristescu, Martin Farach-Colton