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» A Framework to Decompose GSPN Models
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IPPS
2007
IEEE
14 years 1 months ago
Network-Oblivious Algorithms
The design of algorithms that can run unchanged yet efficiently on a variety of machines characterized by different degrees of parallelism and communication capabilities is a hig...
Gianfranco Bilardi, Andrea Pietracaprina, Geppino ...
ACL
2006
13 years 8 months ago
A Pipeline Framework for Dependency Parsing
Pipeline computation, in which a task is decomposed into several stages that are solved sequentially, is a common computational strategy in natural language processing. The key pr...
Ming-Wei Chang, Quang Do, Dan Roth
ICML
2000
IEEE
13 years 11 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
IPMI
2003
Springer
14 years 8 months ago
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implici...
John W. Fisher III, Lilla Zöllei, William M. ...
PDP
2008
IEEE
14 years 1 months ago
A Transformation Framework for Communicating Multiprocessor-Tasks
Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory p...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...