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MatLSSVM, which has been built by combining the merits of the matrix learning and LSSVM, is a promising supervised algorithm.
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Modern supercomputers are built by combining thousands of small computer servers and using software to turn them into a single entity.
ASR system is built by combining Particle Swarm Optimization (PSO) and Stochastic Resonance (SR).
A closed-loop forming system was built by combining DDF with rapid 3D-shape measurement system.
Finally, a two-layer saliency model is built by combining the two saliency maps.
This is built by combining a life-cycle dimension with a partnership dimension.
More complex models can be built by combining the two basic elements of a reliability model.
The MIHT was built by combining the advantages of B+ trees and priority tries [14] to design dynamic forwarding tables.
The model itself was built by combining and structuring existing datasets of behavioral observations on about 10,000 children.
The measurement-driven controller is built by combining a state-feedback controller with a proportional-integral state estimator.
The rationale behind categorical models is to have discrete basic categories of emotions from which every other emotion can be built by combining these basic emotions.
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