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ICML
2005
IEEE
16 years 7 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
WICSA
2001
15 years 7 months ago
Statechart Simulator for Modeling Architectural Dynamics
Software development is a constant endeavor to optimize qualities like performance and robustness while ensuring functional correctness. Architecture Description Languages (ADLs) ...
Alexander Egyed, David S. Wile
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 1 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner
ICASSP
2008
IEEE
16 years 25 days ago
Doppler-variant modeling of the vocal tract
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [1], the temporal changes of linear prediction coefficients (L...
Axel Heim, Uli Sorger, Florian Hug
MIDDLEWARE
2004
Springer
15 years 11 months ago
A Content Model for Evaluating Peer-to-Peer Searching Techniques
Simulation studies are frequently used to evaluate new peer-to-peer searching techniques as well as existing techniques on new applications. Unless these studies are accurate in th...
Brian F. Cooper