Sentence examples for vector maximization from inspiring English sources
Consequently, Kaul and Lyall [4] discussed the efficiency for fractional vector maximization problems and dual problems.
There are three approaches to solve an MOLPP (Lotfi et al. 1997): 1. Vector maximization.
where wSINR_opt denotes the optimal weight vector of the maximization problem (3) and λ is a scale value equal to the maximum SINR.
For a given weight vector, the weighted sum rate maximization we then need to solve reads as max r w T r s. t. r ∈ C OB. (6).
In order, those algorithms are: C4.5, k-means, support vector machine (SVM), Apriori, expectation maximization (EM), PageRank, AdaBoost, k-nearest neighbors (kNN), Naïve Bayes, and CART.
Mixture parameters (weights, means vectors, and covariance matrices) are estimated by the Expectation Maximization algorithm (EM) which maximizes the log-likelihood criterion.
Maximum likelihood estimation of the parameter vector Θ is carried out through maximization of the log-likelihood function ℓ(D a t a,Θ)= logL(D a t a,Θ).
Liu et al. [ 17] proposed a L1 penalized quadratic support vector machine (SVM) method for GAUCS maximization and individual gene selection with survival outcomes and showed the method outperformed the Cox regression.
Next, assume that the transmit power vector p is fixed, so that the maximization of problem (4) is carried out only over the precoding vector f.
First, transmission beamforming vector is designed to achieve the SEE maximization subject to the constraints of transmission power, minimum secrecy rate threshold and harvested energy threshold.
