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» Robust Boosting for Learning from Few Examples
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149
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ICML
2000
IEEE
16 years 3 months ago
Eligibility Traces for Off-Policy Policy Evaluation
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
Doina Precup, Richard S. Sutton, Satinder P. Singh
133
Voted
CHES
2011
Springer
240views Cryptology» more  CHES 2011»
14 years 2 months ago
Lightweight and Secure PUF Key Storage Using Limits of Machine Learning
A lightweight and secure key storage scheme using silicon Physical Unclonable Functions (PUFs) is described. To derive stable PUF bits from chip manufacturing variations, a lightwe...
Meng-Day (Mandel) Yu, David M'Raïhi, Richard ...
134
Voted
CVPR
2007
IEEE
16 years 4 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
CVPR
2007
IEEE
16 years 4 months ago
Virtual Training for Multi-View Object Class Recognition
Our goal is to circumvent one of the roadblocks to using existing approaches for single-view recognition for achieving multi-view recognition, namely, the need for sufficient trai...
Han-Pang Chiu, Leslie Pack Kaelbling, Tomás...
198
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AH
2008
Springer
15 years 9 months ago
Baroque Technology
As new interactive systems evolve, they frequently hit a sweet spot: A few new tricks to learn, and users gets tremendous benefits, simplifying their lives. But beyond that lies t...
Jan Borchers