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DSMML
2004
Springer
14 years 3 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
SSDBM
2002
IEEE
149views Database» more  SSDBM 2002»
14 years 3 months ago
A Cost Model for Interval Intersection Queries on RI-Trees
The efficient management of interval data represents a core requirement for many temporal and spatial database applications. With the Relational Interval Tree (RI-tree1 ), an effi...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
BIOSYSTEMS
2008
77views more  BIOSYSTEMS 2008»
13 years 10 months ago
A computational model of chemotaxis-based cell aggregation
We present a computational model that successfully captures the cell behaviors that play important roles in 2-D cell aggregation. A virtual cell in our model is designed as an ind...
Manolya Eyiyurekli, Prakash Manley, Peter I. Lelke...
HICSS
2003
IEEE
146views Biometrics» more  HICSS 2003»
14 years 3 months ago
A Model for the Emergence and Diffusion of Software Standards
The economic impact of the growth dynamic of standards is often described from a macroeconomic point of view, employing network effect theory and models dealing with externalities...
Tim Stockheim, Michael Schwind, Wolfgang Köni...
TSMC
2010
13 years 4 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris