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» Theory and Applications of Robust Optimization
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AMW
2010
15 years 1 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 3 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 10 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 6 months ago
Geometric particle swarm optimisation on binary and real spaces: from theory to practice
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Cecilia Di Chio, Alberto Moraglio, Riccardo Poli
ICRA
2010
IEEE
215views Robotics» more  ICRA 2010»
14 years 10 months ago
Moving game theoretical patrolling strategies from theory to practice: An USARSim simulation
— Game theoretical approaches have been recently used to develop patrolling strategies for mobile robots. The idea is that the patroller and the intruder play a game, whose outco...
Francesco Amigoni, Nicola Basilico, Nicola Gatti, ...