Low-Resource Speech Recognition of 500-Word Vocabularies
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001
Many production problems involve facility setups that lead to integer variables, production decisions that are continuous, and demands that are likely to be random. While these problems can be quite difficult to solve, we propose a model and an efficient solution technique for this basic class of stochastic mixed-integer programs. We use a set of scenarios to reflect uncertainty. The resulting mathematical model is solved using Lagrangian relaxation. We show that the duality gap of our relaxation is bounded above by a constant that depends on the cost function and the number of branching points in the scenario tree. We apply our technique to the problem of generating electric power. Numerical results indicate significant savings when the stochastic model is used instead of a deterministic one.
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001
Kaoutar El Maghraoui, Gokul Kandiraju, et al.
WOSP/SIPEW 2010
Xinyi Su, Guangyu He, et al.
Dianli Xitong Zidonghua/Automation of Electric Power Systems
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics