2512 search results - page 319 / 503 » Learning from Highly Structured Data by Decomposition |
109
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PERCOM
2009
ACM
15 years 10 months ago
2009
ACM
Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extr...
108
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WEBDB
2009
Springer
15 years 10 months ago
2009
Springer
Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these...
113
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
172
Voted
PODC
2011
ACM
14 years 6 months ago
2011
ACM
Maintaining data structure semantics of concurrent queues such as first-in first-out (FIFO) ordering requires expensive synchronization mechanisms which limit scalability. Howev...
170
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ESANN
2007
15 years 5 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...