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» Optimal production control of a failure-prone machine
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SMC
2007
IEEE
125views Control Systems» more  SMC 2007»
14 years 17 days ago
Scaling with digital connection: Services innovation
—Digitization of production factors, including the knowledge for knowledge workers and consumers, opens almost infinite potential to connect persons, systems, processes, enterpri...
Cheng Hsu
ICFP
2012
ACM
11 years 8 months ago
Introspective pushdown analysis of higher-order programs
In the static analysis of functional programs, pushdown flow analabstract garbage collection skirt just inside the boundaries of soundness and decidability. Alone, each method re...
Christopher Earl, Ilya Sergey, Matthew Might, Davi...
SAGA
2009
Springer
14 years 25 days ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
RAM
2008
IEEE
124views Robotics» more  RAM 2008»
14 years 20 days ago
Mechatronics Considerations for Assisting Humans
Mechatronics technologies are now steadily penetrating in our daily lives. We are surrounded by mechatronic products and interact with them in many ways. In particular, mechatroni...
Masayoshi Tomizuka
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 6 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker