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» New Algorithms for Statistical Analysis of Interval Data
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IROS
2009
IEEE
186views Robotics» more  IROS 2009»
15 years 6 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 6 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
TIP
2008
113views more  TIP 2008»
14 years 11 months ago
Phase Local Approximation (PhaseLa) Technique for Phase Unwrap From Noisy Data
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...
Vladimir Katkovnik, Jaakko Astola, Karen O. Egiaza...
COLT
2004
Springer
15 years 5 months ago
Statistical Properties of Kernel Principal Component Analysis
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
Laurent Zwald, Olivier Bousquet, Gilles Blanchard
BMCBI
2006
94views more  BMCBI 2006»
14 years 12 months ago
Simulation of microarray data with realistic characteristics
Background: Microarray technologies have become common tools in biological research. As a result, a need for effective computational methods for data analysis has emerged. Numerou...
Matti Nykter, Tommi Aho, Miika Ahdesmäki, Pek...