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ICML
2008
IEEE
16 years 7 months ago
Democratic approximation of lexicographic preference models
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...
Fusun Yaman, Thomas J. Walsh, Michael L. Littman, ...
CICLING
2009
Springer
16 years 7 months ago
Generating Executable Scenarios from Natural Language
Abstract. Bridging the gap between the specification of software requirements and actual execution of the behavior of the specified system has been the target of much research in r...
Michal Gordon, David Harel
CHI
2003
ACM
16 years 6 months ago
Combined model for text entry rate development
We combine the power law of learning and theoretical upper limit predictions to describe the development of text entry rates from users' first contact to asymptotic expert us...
Poika Isokoski, I. Scott MacKenzie
HICSS
2009
IEEE
177views Biometrics» more  HICSS 2009»
16 years 1 months ago
Intelligent Alarm Processing: From Data Intensive to Information Rich
The requirement for power system operators to respond more efficiently to the stressed power system conditions that may create large number of alarms asks fort advanced alarm proc...
Mladen Kezunovic, Yufan Guan
QSHINE
2009
IEEE
16 years 1 months ago
Using Sensor Networks to Measure Intensity in Sporting Activities
The deployment of sensor networks is both widespread and varied with more niche applications based on these networks. In the case study provided in this work, the network is provid...
Mark Roantree, Michael Whelan, Jie Shi, Niall Moyn...