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NIPS
2008
15 years 1 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
14 years 12 months ago
Continuous trajectory planning of mobile sensors for informative forecasting
This paper addresses planning of continuous paths for mobile sensors to reduce uncertainty in some quantities of interest in the future. The mutual information between the measure...
Han-Lim Choi, Jonathan P. How
CORR
2008
Springer
89views Education» more  CORR 2008»
14 years 12 months ago
Information Theoretic Operating Regimes of Large Wireless Networks
In analyzing the point-to-point wireless channel, insights about two qualitatively different operating regimes-bandwidth- and power-limited--have proven indispensable in the design...
Ayfer Özgür, Ramesh Johari, David N. C. ...
DATAMINE
2010
122views more  DATAMINE 2010»
14 years 12 months ago
Three naive Bayes approaches for discrimination-free classification
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
Toon Calders, Sicco Verwer
MCS
2008
Springer
14 years 11 months ago
Parameter identification and model verification in systems of partial differential equations applied to transdermal drug deliver
The purpose of this paper is to present some numerical tools which facilitate the interpretation of simulation or data fitting results and which allow to compute optimal experimen...
Klaus Schittkowski