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ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
15 years 5 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...
ICASSP
2010
IEEE
15 years 7 months ago
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
Steffen Barembruch
SODA
2012
ACM
249views Algorithms» more  SODA 2012»
13 years 9 months ago
Improved competitive ratio for the matroid secretary problem
The Matroid Secretary Problem, introduced by Babaioff et al. (2007), is a generalization of the Classical Secretary Problem. In this problem, elements from a matroid are presente...
Sourav Chakraborty, Oded Lachish
GLVLSI
2002
IEEE
98views VLSI» more  GLVLSI 2002»
16 years 5 days ago
Minimizing concurrent test time in SoC's by balancing resource usage
We present a novel test scheduling algorithm for embedded corebased SoC’s. Given a system integrated with a set of cores and a set of test resources, we select a test for each c...
Dan Zhao, Shambhu J. Upadhyaya, Martin Margala
AIME
2009
Springer
15 years 11 months ago
The Role of Biomedical Dataset in Classification
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
Ajay Kumar Tanwani, Muddassar Farooq