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CCE
2008
13 years 8 months ago
A hierarchical decision procedure for productivity innovation in large-scale petrochemical processes
Maintaining the best quality is essential for the survival of a company in a globally competitive world. Six Sigma activity has been widely accepted as one of the most efficient a...
Chonghun Han, Minjin Kim, En Sup Yoon
ISMIS
2000
Springer
14 years 23 hour ago
An Intelligent Lessons Learned Process
A learned lesson, in the context of a pre-defined organizational process, summarizes an experience that should be used to modify that process, under the conditions for which that l...
Rosina Weber, David W. Aha, Héctor Mu&ntild...
ATAL
2008
Springer
13 years 10 months ago
Learning to interact: connecting perception with action in virtual environments
Modeling synthetic characters which interact with objects in dynamic virtual worlds is important when we want the agents to act in an autonomous and non-preplanned way. Such inter...
Pedro Sequeira, Ana Paiva
ICCD
1996
IEEE
145views Hardware» more  ICCD 1996»
14 years 18 days ago
Can Trace-Driven Simulators Accurately Predict Superscalar Performance?
There are four crucial issues associated with performance simulators: simulator retargetability, simulator validation, simulation speed and simulation accuracy. This paper documen...
Bryan Black, Andrew S. Huang, Mikko H. Lipasti, Jo...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 2 months ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso