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» An Approach to use Executable Models for Testing
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140
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ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
15 years 2 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
137
Voted
SPRINGSIM
2007
15 years 4 months ago
Studying the impact of web-services implementation of distributed simulation of DEVS and Cell-DEVS models
DEVS is a Modeling and Simulation formalism that has been used to study the dynamics of discrete event systems. Cell-DEVS is a DEVS-based formalism that defines the cell space as ...
Rami Madhoun, Gabriel A. Wainer
109
Voted
EOR
2006
74views more  EOR 2006»
15 years 3 months ago
A mixed-integer programming approach to multi-class data classification problem
This paper presents a new data classification method based on mixed-integer programming. Traditional approaches that are based on partitioning the data sets into two groups perfor...
Fadime Üney Yüksektepe, Metin Türka...
115
Voted
WSC
2004
15 years 5 months ago
Stochastic Approximation with Simulated Annealing as an Approach to Global Discrete-Event Simulation Optimization
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Matthew H. Jones, K. Preston White
128
Voted
ISPASS
2006
IEEE
15 years 9 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder