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ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 5 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
167
Voted
ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
117
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IM
2007
15 years 5 months ago
Robust Monitoring of Network-wide Aggregates through Gossiping
Abstract—We investigate the use of gossip protocols for continuous monitoring of network-wide aggregates under crash failures. Aggregates are computed from local management varia...
Fetahi Wuhib, Mads Dam, Rolf Stadler, Alexander Cl...
134
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SIMUTOOLS
2008
15 years 5 months ago
Simulating SMEPP middleware
Embedded Peer-to-Peer Systems (EP2P) represent a new challenge in the development of software for distributed systems. The main objective of the SMEPP (Secure Middleware for Embed...
Javier Barbarán, Carlos Bonilla, Jose &Aacu...
125
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CIC
2006
15 years 5 months ago
IIOP Failover in Dynamic Clusters
Abstract-Requirement: Clients should experience high-availability when accessing network services. Availability should be transparent and not require altering programs. Problem: Av...
Harold Carr, Ken Cavanaugh
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