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ATAL
2010
Springer
15 years 4 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
171
Voted
ATAL
2010
Springer
15 years 4 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
KI
2008
Springer
15 years 3 months ago
On Restaurants and Requirements: How Requirements Engineering may be Facilitated by Scripts
Requirements engineering is a central part of software projects. It is assumed that two third of all errors in software projects are caused by forgotten requirements or mutual misu...
Christoph Peylo
CVPR
2009
IEEE
16 years 10 months ago
Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features
In an 2D echocardiogram exam, an ultrasound probe samples the heart with 2D slices. Changing the orientation and position on the probe changes the slice viewpoint, altering the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...
126
Voted
CVPR
2008
IEEE
16 years 5 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...