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» Second Order Approximations for Probability Models
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MSOM
2010
77views more  MSOM 2010»
13 years 5 months ago
To Wave or Not to Wave? Order Release Policies for Warehouses with an Automated Sorter
Wave-based release policies are prevalent in warehouses with an automated sorter, and take different forms depending on how much waves overlap and whether the sorter is split for...
Jérémie Gallien, Théophane We...
AAAI
1992
13 years 8 months ago
Causal Approximations
models require the identi cation of abstractions and approximations that are well suited to the task at hand. In this paper we analyze the problem of automatically selecting adequ...
P. Pandurang Nayak
IJCAI
2001
13 years 8 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
AMAI
2004
Springer
14 years 23 days ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
INFOCOM
2005
IEEE
14 years 29 days ago
Spatial energy balancing in large-scale wireless multihop networks
— In this paper we investigate the use of proactive multipath routing to achieve energy efficient operation of ad hoc wireless networks. The focus is on optimizing trade-offs be...
Seung Jun Baek, Gustavo de Veciana