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» Nonlinear predictive control based on neural multi-models
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NIPS
1996
14 years 11 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
ICONIP
2007
14 years 11 months ago
A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG
It has repeatedly been reported in the medical literature that the EEG signals of Alzheimer’s disease (AD) patients are less synchronous than in age-matched control patients. Thi...
Justin Dauwels, François B. Vialatte, Andrz...
BMCBI
2006
129views more  BMCBI 2006»
14 years 10 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
MICRO
2007
IEEE
167views Hardware» more  MICRO 2007»
15 years 4 months ago
Informed Microarchitecture Design Space Exploration Using Workload Dynamics
Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
Chang-Burm Cho, Wangyuan Zhang, Tao Li
ICCS
2007
Springer
15 years 4 months ago
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanat...