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NEUROSCIENCE
2001
Springer
15 years 7 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 8 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
HIPC
2003
Springer
15 years 8 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
DATE
1999
IEEE
194views Hardware» more  DATE 1999»
15 years 7 months ago
CRUSADE: Hardware/Software Co-Synthesis of Dynamically Reconfigurable Heterogeneous Real-Time Distributed Embedded Systems
Dynamically reconfigurable embedded systems offer potential for higher performance as well as adaptability to changing system requirements at low cost. Such systems employ run-tim...
Bharat P. Dav
ICDCS
2009
IEEE
15 years 9 months ago
Explicit Batching for Distributed Objects
Although distributed object systems, for example RMI and CORBA, enable object-oriented programs to be easily distributed across a network, achieving acceptable performance usually...
Eli Tilevich, William R. Cook, Yang Jiao