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» Nonlinear Predictive Control with a Gaussian Process Model
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NN
2007
Springer
162views Neural Networks» more  NN 2007»
14 years 11 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
106
Voted
ATAL
2009
Springer
14 years 9 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
97
Voted
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 6 months ago
The role of social feedback in steady-state performance of human decision making for two-alternative choice tasks
With an eye towards design of human-in-the-loop systems, we investigate human decision making in a social context for tasks that require the human to make repeated choices among fi...
Andrew Reed Stewart, Naomi Ehrich Leonard
MOBICOM
2004
ACM
15 years 5 months ago
PAVAN: a policy framework for content availabilty in vehicular ad-hoc networks
Advances in wireless communication, storage and processing are realizing next-generation in-vehicle entertainment systems. Even if hundreds of different video or audio titles are...
Shahram Ghandeharizadeh, Shyam Kapadia, Bhaskar Kr...
113
Voted
JMLR
2008
127views more  JMLR 2008»
14 years 11 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King