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ARTMED
1999
92views more  ARTMED 1999»
15 years 2 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
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 ...
JAIR
2008
135views more  JAIR 2008»
15 years 2 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
ROBOCUP
2004
Springer
97views Robotics» more  ROBOCUP 2004»
15 years 7 months ago
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach
The UT Austin Villa 2003 simulated online soccer coach was a first time entry in the RoboCup Coach Competition. In developing the coach, the main research focus was placed on trea...
Gregory Kuhlmann, Peter Stone, Justin Lallinger
ACL
1998
15 years 3 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...