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rVQ_fk_nps a variant of VQ_fk_nps is obtained by using random vectors in step 1.2 of the initialization phase as originally defined in vector quantization.
rmVQ_fk_nps a variant of VQ_fk_nps is obtained by using random vectors in step 1.2 of the initialization phase as originally defined in vector quantization and using an entire update on the distance matrix after the cluster assignment of all the data vectors in step 2.1 of the cluster update phase as originally proposed in kernel-based vector quantization in [10].
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In order to obtain the CDIs, codebooks are generated by using random vector quantization (RVQ) which contains (2^{N_{d}}phantom {dot {i}!}) codewords, where N d is the number of bits.
The experiment used random vectors c i ∈ ( − 1 / N, 1 / N ) N ( i = 1, 2, 3 ) generated by the java.util.Random class so as to satisfy C ≠ ∅.
The mutated QPSO (MuQPSO) is proposed in this paper by using a random vector in QPSO to increase the randomness and to enhance the global search ability.
Important feature variables were identified using Random Forest, and the Support Vector Machine provided the classification.
Expressions of covariance functions are formed using random functions, made by spreading digital image pixel arrays by columns in the form of individual vectors.
The basic idea is to achieve a dimensionality reduction of the input ANN training space by using as input vector the random phase angles of the spectral representation method instead of the random variables describing the uncertain input parameters.
Briefly, aliquots of poly (A)+ RNA were reverse-transcribed separately by using either random or oligo (dT) primers, and the cDNA products were combined and inserted in the shuttle vector, pGADT7 -RecontainingninGAL4activationon domain (p GAL4 AD).
We are left with evaluating the Euclidean area of the random parallelogram generated by these random vectors, and using the "base times height" formula it is easy to prove this mean area is (2V_{p}).
Further by using the residual vector we compute error bounds for random generalized variational inequality problems and we generalize the regularized gap functions proposed by Fukushima.
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