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» Combining programs and state machines
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NIPS
1996
13 years 10 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
13 years 13 days ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
TREC
2004
13 years 10 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
CCGRID
2009
IEEE
14 years 17 days ago
Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing
In large-scale clusters and computational grids, component failures become norms instead of exceptions. Failure occurrence as well as its impact on system performance and operatio...
Song Fu
OTM
2004
Springer
14 years 2 months ago
A Virtual-Machine-Based Middleware
Currently, a number of distributed software systems development tools exist, but typically they are designed either to satisfy industrial standards – industrial perspective – o...
Alcides Calsavara, Agnaldo K. Noda, Juarez da Cost...