7397 search results - page 1007 / 1480 » Processes Are Data: A Programming Model for Distributed Appl... |
216
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BMCBI
2010
15 years 7 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
204
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NIPS
2001
15 years 8 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
171
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ICDCS
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we propose and prove correct a distributed stabilizing implementation of an overlay, called DR-tree, optimized for efficient selective dissemination of information...
208
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MIDDLEWARE
2005
Springer
16 years 10 days ago
2005
Springer
Sensor-based services propose to gather, manage, analyze, access and react to sensor data. These services are distributed over heterogeneous platforms. The complexity of the imple...
170
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HPCA
2008
IEEE
16 years 7 months ago
2008
IEEE
A microprocessor's performance is fundamentally limited by the rate at which it can resolve branch mispredictions. Control independence (CI) architectures look for useful con...