58 search results - page 4 / 12 » Distributed Machine Learning: Scaling Up with Coarse-grained... |
174
Voted
MLDM
2009
Springer
16 years 27 days ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
177
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ICDCS
2002
IEEE
15 years 11 months ago
2002
IEEE
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
214
Voted
WAN
1998
Springer
15 years 10 months ago
1998
Springer
We present a model for the parallel performance of algorithms that consist of concurrent, two-dimensional wavefronts implemented in a message passing environment. The model combine...
182
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CLUSTER
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
192
Voted
CLOUDCOM
2010
Springer
15 years 4 months ago
2010
Springer
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...