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ICWE
2003
Springer
15 years 2 months ago
Engineering a Future for Web-Based Learning Objects
This paper takes a critical look at current development efforts with learning objects for Web-based e-learning. It points out the limitations of these efforts and argues that they ...
Permanand Mohan, Christopher A. Brooks
83
Voted
OSDI
2004
ACM
15 years 9 months ago
Configuration Debugging as Search: Finding the Needle in the Haystack
This work addresses the problem of diagnosing configuration errors that cause a system to function incorrectly. For example, a change to the local firewall policy could cause a ne...
Andrew Whitaker, Richard S. Cox, Steven D. Gribble
73
Voted
AAAI
2007
14 years 12 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
88
Voted
ATAL
2008
Springer
14 years 11 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
75
Voted
MTA
2006
173views more  MTA 2006»
14 years 9 months ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang