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» Combining Classifiers based on Confidence Values
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JIRS
2008
100views more  JIRS 2008»
13 years 6 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
ECAI
2004
Springer
13 years 10 months ago
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Dragan Gamberger, Nada Lavrac
CIKM
2005
Springer
14 years 7 days ago
Using appraisal groups for sentiment analysis
Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
Casey Whitelaw, Navendu Garg, Shlomo Argamon
WPES
2004
ACM
14 years 3 days ago
Assessing global disclosure risk in masked microdata
In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...
ICVS
2009
Springer
13 years 4 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...