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» Learning to Improve both Efficiency and Quality of Planning
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UIST
2010
ACM
13 years 6 months ago
Designing adaptive feedback for improving data entry accuracy
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
Kuang Chen, Joseph M. Hellerstein, Tapan S. Parikh
ITICSE
2000
ACM
14 years 1 months ago
Integrating interactive computer-based learning experiences into established curricula: a case study
Educators who wish to integrate interactive computerbased learning experiences into established courses must contend not only with the difficulty of creating quality digital conte...
Anne Morgan Spalter, Rosemary Michelle Simpson
UAI
2008
13 years 10 months ago
New Techniques for Algorithm Portfolio Design
We present and evaluate new techniques for designing algorithm portfolios. In our view, the problem has both a scheduling aspect and a machine learning aspect. Prior work has larg...
Matthew J. Streeter, Stephen F. Smith
CIIA
2009
13 years 10 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
EWCBR
2000
Springer
14 years 12 days ago
Active Delivery for Lessons Learned Systems
Lessons learned processes, and software systems that support them, have been developed by many organizations (e.g., all USA military branches, NASA, several Department of Energy or...
Rosina Weber, David W. Aha, Héctor Mu&ntild...