Sentence examples for sample space to from inspiring English sources
The main benefit of this approach is the reduction of the sample space to one dimension.
where are disjoint events partitioning the area of the sample space to which belongs.
Then the search continues by gradually shrinking the sample space to detect better configurations as we expect them to be near the already detected configuration.
Thus, the incremental learning algorithm based on potential function is effective, which utilizes global information about each class of training sample space to construct RBF hidden neurons incrementally, and the hybrid RBF-BP network architecture improves the network performance further.
First, we showed that this form of model reduction can be represented as a mapping from a many-dimensional sample space to a lower-dimensional sample space, rather than as a mapping from a many-node network to a few-node network, and that one can formulate the problem as a search for the optimal such mapping.
The subspaces of the interim sample space to perform separate optimizations remain the same (see Appendix A3).
The first views gene selection and sample clustering as basically independent processes, the second dynamically uses the relationship between gene and sample spaces to iteratively apply a clustering and selection engine, while the third tries to cluster both genes and samples at the same time in a reduced space.
Its core idea is to use the reference structure-based coding modulation to build a projection mapping from sampling space to measurement space.
If the sample is actively collected from a contained space, care should be taken not to extract > 20% of the enclosed volume to avoid dilution effects (air from the room will be pumped into the sampled space to replace the air pumped out).
Annealing SAMC shrinks the sample space at each iteration according to the current sample.
Thus, the proposed method solves the problem of dimension change from sample space mapping to feature space, and it reduces the restrictions on the sample sets, which is adaptable to more complex sample sets.
