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» ELEM2: A Learning System for More Accurate Classifications
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CHI
2008
ACM
14 years 8 months ago
A user study of policy creation in a flexible access-control system
Significant effort has been invested in developing expressive and flexible access-control languages and systems. However, little has been done to evaluate these systems in practic...
Lujo Bauer, Lorrie Faith Cranor, Robert W. Reeder,...
NAACL
2003
13 years 9 months ago
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
We address the text-to-text generation problem of sentence-level paraphrasing — a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our appro...
Regina Barzilay, Lillian Lee
ICASSP
2011
IEEE
12 years 11 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 26 days ago
Limits in Long Path Learning with XCS
The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...
Alwyn Barry
GECCO
2005
Springer
111views Optimization» more  GECCO 2005»
14 years 1 months ago
XCS with eligibility traces
The development of the XCS Learning Classifier System has produced a robust and stable implementation that performs competitively in direct-reward environments. Although investig...
Jan Drugowitsch, Alwyn Barry