Sentence examples for maximization based on from inspiring English sources

Next, we present an algorithm, which consists of two steps, for influence maximization based on a time parameter T (IMT).

Rate-power allocation algorithms for expected mutual information maximization based on partial channel knowledge have been developed in [13].

As further works, the system throughput maximization based on generated load and the multi-agent Q-learning for SU relay needs to be studied in order to realize more efficient CCRNs.

This paper presents an integrated model system for mobility maximization based on a quantified specification of environmental capacity, and evaluates policy interaction and effectiveness by simulating a number of policy scenarios.

Under the fixed-price issuing mechanism, since the issuer cannot determine the effective purchase demand, generally, the issuer will formulate the issuing price in strict accordance with the principle of expected utility maximization based on the determination of a risk aversion coefficient.

The optimization is then performed using the algorithm EM (Expectation-Maximization) based on an iterative optimization of the model parameters (a priori probability, vectors means, and covariances matrices).

It is observed that the WSR maximization design based on Robust-SP slightly outperforms the one based on Robust-LPM, where the corresponding WSR gap is smaller than 0.1 bits/s/Hz in the SNR regimes of consideration.

In [31], the maximization is based on simulated annealing, it must run at one single resolution each time, and its computational complexity is very high.

Since the standard deviation has a square root expression, which makes standard maximization algorithms based on mixed-integer linear programming non-applicable, we show the equivalency to the Mean Variance Robust Design Problem (MV-RDP).

In this paper, expectation maximization imputation based on the Gaussian mixture model (GMM-EM) and multiple imputation (MI) are respectively applied to perform missing data imputation for leaching process under different data loss rates and data loss patterns, and then the imputation performances are evaluated.

The CLiMax algorithm (composite likelihood maximization) is based on a biophysical model of probe-target hybridization.