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ML
1998
ACM
136views Machine Learning» more  ML 1998»
13 years 8 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
ICASSP
2011
IEEE
13 years 10 days ago
Time-to-Onset latency in fMRI: Fast detection of delayed activation
A standard fMRI experiment is structured around the assumption that onset of relevant neural activity occurs almost immediately after external stimulus. Introducing deliberate len...
Victor Solo, Ben Cassidy, Christopher J. Long, Car...
AIPS
2009
13 years 9 months ago
Flexible Execution of Plans with Choice
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
Patrick R. Conrad, Julie A. Shah, Brian C. William...
CVPR
2009
IEEE
15 years 3 months ago
Recognition of Repetitive Sequential Human Activity
We present a novel framework for recognizing repetitive sequential events performed by human actors with strong temporal dependencies and potential parallel overlap. Our solutio...
Akira Yanagawa, Arun Hampapur, Quanfu Fan, Russell...
BMVC
2001
13 years 11 months ago
Zernike Velocity Moments for Description and Recognition of Moving Shapes
New Zernike velocity moments have been developed to describe an object, not only by its shape , but also by its motion throughout an image sequence. These are an extended form of ...
Jamie D. Shutler, Mark S. Nixon