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SIGMETRICS
2002
ACM
115views Hardware» more  SIGMETRICS 2002»
13 years 7 months 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...
ML
2007
ACM
192views Machine Learning» more  ML 2007»
13 years 7 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»
13 years 7 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
PVLDB
2010
122views more  PVLDB 2010»
13 years 6 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
EMSOFT
2010
Springer
13 years 5 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