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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 9 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ECSQARU
2005
Springer
14 years 2 months ago
Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching
This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe s and models at multiple levels of...
David Poole, Clinton Smyth
QEST
2008
IEEE
14 years 3 months ago
Approximate Analysis of Probabilistic Processes: Logic, Simulation and Games
We tackle the problem of non robustness of simulation and bisimulation when dealing with probabilistic processes. It is important to ignore tiny deviations in probabilities becaus...
Josée Desharnais, François Laviolett...
ICRA
2008
IEEE
142views Robotics» more  ICRA 2008»
14 years 3 months ago
Gaussian mixture models for probabilistic localization
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
ATAL
2003
Springer
14 years 1 months ago
A Catalog of Biologically-Inspired Primitives for Engineering Self-Organization
Abstract. The Amorphous Computing project is aimed at developing programming methodologies for systems composed of vast numbers of locallyinteracting, identically-programmed agents...
Radhika Nagpal