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» Combining Methods for Dynamic Multiple Classifier Systems
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MCS
2005
Springer
15 years 6 months ago
Mixture of Gaussian Processes for Combining Multiple Modalities
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard
118
Voted
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
15 years 5 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
IFIP
2010
Springer
14 years 7 months ago
Combining Software and Hardware LCS for Lightweight On-Chip Learning
In this paper we present a novel two-stage method to realize a lightweight but very capable hardware implementation of a Learning Classifier System for on-chip learning. Learning C...
Andreas Bernauer, Johannes Zeppenfeld, Oliver Brin...
JCM
2006
120views more  JCM 2006»
15 years 12 days ago
Multi-Agent Wireless System for Dynamic and Local Combined Pricing, Allocation and Billing
In established communication systems prices are determined in a quasi-static way and for a large area according to a fixed price model. Additionally, the main decision criteria of ...
Clemens Kloeck, Holger Jaekel, Friedrich Jondral
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 5 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher