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IEEEPACT
2008
IEEE
15 years 10 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
15 years 9 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
120
Voted
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
16 years 3 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
ATAL
2008
Springer
15 years 6 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
110
Voted
ICPP
1996
IEEE
15 years 8 months ago
Scalable S-to-P Broadcasting on Message-Passing MPPs
In s-to-p broadcasting, s processors in a p-processor machine contain a message to be broadcast to all the processors, 1 s p. We present a number of different broadcasting algori...
Susanne E. Hambrusch, Ashfaq A. Khokhar, Yi Liu