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ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 6 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
PPOPP
1997
ACM
15 years 10 months ago
Performance Implications of Communication Mechanisms in All-Software Global Address Space Systems
Global addressing of shared data simplifies parallel programming and complements message passing models commonly found in distributed memory machines. A number of programming sys...
Beng-Hong Lim, Chi-Chao Chang, Grzegorz Czajkowski...
SIGCOMM
2006
ACM
16 years 16 days ago
Measurement-based models of delivery and interference in static wireless networks
We present practical models for the physical layer behaviors of packet reception and carrier sense with interference in static wireless networks. These models use measurements of ...
Charles Reis, Ratul Mahajan, Maya Rodrig, David We...
ECMDAFA
2008
Springer
100views Hardware» more  ECMDAFA 2008»
15 years 8 months ago
From UML Activities to TAAL - Towards Behaviour-Preserving Model Transformations
Model transformations support a model-driven design by providing an c translation of abstract models into more concrete ones, and eventually program code. Crucial to a successful a...
Gregor Engels, Anneke Kleppe, Arend Rensink, Maria...
PDCAT
2009
Springer
16 years 1 months ago
Modular Consensus Algorithms for the Crash-Recovery Model
—In the crash-recovery failure model of asynchronous distributed systems, processes can temporarily stop to execute steps and later restart their computation from a predefined l...
Felix C. Freiling, Christian Lambertz, Mila E. Maj...