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TRANSCI
2002
106views more  TRANSCI 2002»
15 years 1 months ago
The Stochastic Inventory Routing Problem with Direct Deliveries
Vendor managed inventory replenishment is a business practice in which vendors monitor their customers' inventories, and decide when and how much inventory should be replenis...
Anton J. Kleywegt, Vijay S. Nori, Martin W. P. Sav...
EDM
2010
165views Data Mining» more  EDM 2010»
15 years 3 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy
CODES
2003
IEEE
15 years 7 months ago
A multiobjective optimization model for exploring multiprocessor mappings of process networks
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Cagkan Erbas, Selin C. Erbas, Andy D. Pimentel
ICML
2004
IEEE
16 years 2 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 8 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen