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NEUROSCIENCE
2001
Springer
15 years 10 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
CIKM
2007
Springer
16 years 14 days ago
Optimal proactive caching in peer-to-peer network: analysis and application
As a promising new technology with the unique properties like high efficiency, scalability and fault tolerance, Peer-toPeer (P2P) technology is used as the underlying network to b...
Weixiong Rao, Lei Chen 0002, Ada Wai-Chee Fu, Ying...
IPPS
2003
IEEE
15 years 11 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
OSDI
2008
ACM
16 years 6 months ago
Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics
The number and complexity of distributed applications has exploded, and to-date, each has had to create its own method for providing diagnostic tools and performance metrics. Thes...
Chas DiFatta, Mark Poepping, Daniel V. Klein
PERCOM
2007
ACM
16 years 5 months ago
Securing distributed data storage and retrieval in sensor networks
Sensor networks have been an attractive platform for pervasive computing and communication. Due to the lack of physical protection, however, sensor networks are vulnerable to atta...
Nalin Subramanian, Chanjun Yang, Wensheng Zhang