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» Learning from Multiple Sources of Inaccurate Data
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118
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ICML
2002
IEEE
16 years 4 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
151
Voted
IV
2009
IEEE
187views Visualization» more  IV 2009»
15 years 10 months ago
Dynamic Mapping of Raster-Data for 3D Geovirtual Environments
Interactive 3D geovirtual environments (GeoVE), such as 3D virtual city and landscape models, are important tools to communicate geo-spatial information. Usually, this includes st...
Matthias Trapp, Jürgen Döllner
143
Voted
GRC
2007
IEEE
15 years 3 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
152
Voted
USENIX
2008
15 years 6 months ago
Wide-Scale Data Stream Management
This paper describes Mortar, a distributed stream processing platform for building very large queries across federated systems (enterprises, grids, datacenters, testbeds). Nodes i...
Dionysios Logothetis, Ken Yocum
174
Voted
ESANN
2006
15 years 5 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...