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» Prediction Time in Anticipatory Systems
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RTSS
2005
IEEE
15 years 11 months ago
Quantifying the Gap between Embedded Control Models and Time-Triggered Implementations
Mapping a set of feedback control components to executable code introduces errors due to a variety of factors such as discretization, computational delays, and scheduling policies...
Hakan Yazarel, Antoine Girard, George J. Pappas, R...
EDM
2008
110views Data Mining» more  EDM 2008»
15 years 7 months ago
A Response Time Model For Bottom-Out Hints as Worked Examples
Students can use an educational system's help in unexpected r example, they may bypass abstract hints in search of a concrete solution. This behavior has traditionally been la...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
DAGSTUHL
2004
15 years 7 months ago
Simplicity Considered Fundamental to Design for Predictability
Complexity is the core problem of contemporary information technology, as the "artificial complicatedness" of its artefacts is exploding. Intellectually easy and economic...
Wolfgang A. Halang
AAAI
2006
15 years 7 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
FASE
2007
Springer
16 years 10 days ago
EQ-Mine: Predicting Short-Term Defects for Software Evolution
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Jacek Ratzinger, Martin Pinzger, Harald Gall