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ICML
2006
IEEE
16 years 5 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 11 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
15 years 11 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles
NIPS
2007
15 years 6 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
AAECC
2007
Springer
117views Algorithms» more  AAECC 2007»
15 years 5 months ago
A predictor-corrector-type technique for the approximate parameterization of intersection curves
Abstract We describe a method to approximate a segment of the intersection curve of two implicitly defined surfaces by a rational parametric curve. Starting from an initial soluti...
Bert Jüttler, Pavel Chalmovianský