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99
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SIGMETRICS
2002
ACM
115views Hardware» more  SIGMETRICS 2002»
15 years 3 days ago
Maximum likelihood network topology identification from edge-based unicast measurements
Network tomography is a process for inferring "internal" link-level delay and loss performance information based on end-to-end (edge) network measurements. These methods...
Mark Coates, Rui Castro, Robert Nowak, Manik Gadhi...
127
Voted
ML
2007
ACM
192views Machine Learning» more  ML 2007»
14 years 12 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
MONET
2007
111views more  MONET 2007»
14 years 12 months ago
Resource Discovery in Activity-Based Sensor Networks
— This paper proposes a service discovery protocol for sensor networks that is specifically tailored for use in humancentered pervasive environments. It uses the high-level conc...
Doina Bucur, Jakob E. Bardram
131
Voted
PVLDB
2010
122views more  PVLDB 2010»
14 years 11 months ago
Database Replication: a Tale of Research across Communities
Replication is a key mechanism to achieve scalability and fault-tolerance in databases. Its importance has recently been further increased because of the role it plays in achievin...
Bettina Kemme, Gustavo Alonso
116
Voted
EMSOFT
2010
Springer
14 years 10 months ago
Nucleos: a runtime system for ultra-compact wireless sensor nodes
Nucleos is a new runtime system for ultra-lightweight embedded systems. Central to Nucleos is a dispatcher based on the concept of e threaded code, which enables layers of abstrac...
Jiwon Hahn, Pai H. Chou