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» Learning to Improve both Efficiency and Quality of Planning
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VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 7 months ago
Improving Data Quality: Consistency and Accuracy
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Sh...
AAMAS
2004
Springer
13 years 7 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman
AAAI
2008
13 years 10 months ago
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Minmin Chen, Yixin Chen, Michael R. Brent
EOR
2006
178views more  EOR 2006»
13 years 7 months ago
A fuzzy optimization model for QFD planning process using analytic network approach
In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize custom...
Cengiz Kahraman, Tijen Ertay, Gülçin B...
VLDB
2001
ACM
100views Database» more  VLDB 2001»
14 years 13 hour ago
Improving Business Process Quality through Exception Understanding, Prediction, and Prevention
Business process automation technologies are being increasingly used by many companies to improve the efficiency of both internal processes as well as of e-services offered to cus...
Daniela Grigori, Fabio Casati, Umeshwar Dayal, Min...