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EDM
2008
193views Data Mining» more  EDM 2008»
15 years 8 months ago
Can we predict which groups of questions students will learn from?
In a previous study ([4]), we used the ASSISTment system to track student knowledge longitudinally over the course of a schools year, based upon each student using our system about...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Ke...
TSMC
2010
15 years 1 months ago
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
CAV
2009
Springer
156views Hardware» more  CAV 2009»
16 years 1 months ago
Towards Performance Prediction of Compositional Models in Industrial GALS Designs
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip desi...
Nicolas Coste, Holger Hermanns, Etienne Lantreibec...
BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
16 years 28 days ago
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona’s Medicaid program, provides a unique opportunity to exploit state-of-the-art data pro...
Sai T. Moturu, William G. Johnson, Huan Liu
ICIP
2007
IEEE
16 years 27 days ago
Automatic Measures for Predicting Performance in Off-Line Signature
Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a partic...
Fernando Alonso-Fernandez, Michael C. Fairhurst, J...