9 search results - page 2 / 2 » Massively Parallel Probabilistic Reasoning with Boltzmann Ma... |
MLDM
2009
Springer
13 years 11 months 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...
KES
1999
Springer
13 years 9 months ago
1999
Springer
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
BIBM
2010
IEEE
13 years 2 months ago
2010
IEEE
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
CLOUDCOM
2010
Springer
13 years 3 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...