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» Approximate algorithms for neural-Bayesian approaches
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OPODIS
2007
14 years 11 months ago
Peer to Peer Multidimensional Overlays: Approximating Complex Structures
Peer to peer overlay networks have proven to be a good support for storing and retrieving data in a fully decentralized way. A sound approach is to structure them in such a way tha...
Olivier Beaumont, Anne-Marie Kermarrec, Etienne Ri...
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
15 years 11 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
SI3D
2006
ACM
15 years 3 months ago
View-dependent precomputed light transport using nonlinear Gaussian function approximations
We propose a real-time method for rendering rigid objects with complex view-dependent effects under distant all-frequency lighting. Existing precomputed light transport approaches...
Paul Green, Jan Kautz, Wojciech Matusik, Fré...
ARTMED
2002
121views more  ARTMED 2002»
14 years 9 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
ICMLA
2008
14 years 11 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa