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» Adaptive Control of Extreme-scale Stream Processing Systems
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NIPS
1996
13 years 9 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
JUCS
2006
185views more  JUCS 2006»
13 years 7 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
NOCS
2008
IEEE
14 years 2 months ago
Network Simplicity for Latency Insensitive Cores
In this paper we examine a latency insensitive network composed of very fast and simple circuits that connects SoC cores that are also latency insensitive, de-synchronized, or asy...
Daniel Gebhardt, JunBok You, W. Scott Lee, Kenneth...
VISUALIZATION
2005
IEEE
14 years 1 months ago
Texture-Based Visualization of Uncertainty in Flow Fields
In this paper, we present two novel texture-based techniques to visualize uncertainty in time-dependent 2D flow fields. Both methods use semi-Lagrangian texture advection to sho...
Ralf P. Botchen, Daniel Weiskopf
PPOPP
2009
ACM
14 years 8 months ago
Safe open-nested transactions through ownership
Researchers in transactional memory (TM) have proposed open nesting as a methodology for increasing the concurrency of transactional programs. The idea is to ignore "low-leve...
Kunal Agrawal, I.-Ting Angelina Lee, Jim Sukha