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» An Approach to use Executable Models for Testing
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NIPS
2004
15 years 6 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
MICCAI
2004
Springer
16 years 5 months ago
Surface-Based Registration with a Particle Filter
Abstract. We propose the use of a particle filter as a solution to the rigid shapebased registration problem commonly found in computer-assisted surgery. This approach is especiall...
Burton Ma, Randy E. Ellis
PLDI
2009
ACM
15 years 11 months ago
Parallelizing sequential applications on commodity hardware using a low-cost software transactional memory
Multicore designs have emerged as the mainstream design paradigm for the microprocessor industry. Unfortunately, providing multiple cores does not directly translate into performa...
Mojtaba Mehrara, Jeff Hao, Po-Chun Hsu, Scott A. M...
PADS
2003
ACM
15 years 10 months ago
Hybrid Packet/Fluid Flow Network Simulation
Packet-level discrete-event network simulators use an event to model the movement of each packet in the network. This results in accurate models, but requires that many events are...
Cameron Kiddle, Rob Simmonds, Carey L. Williamson,...
ECML
2006
Springer
15 years 8 months ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...