Firstly, based on the resource bidding, it considered the resource of nodes and the bandwidth between domains, and proposed a optimized discrete particle swarm optimization (PSO) algorithm for inter domain virtual network mapping, which could effectively improve th...
Kruskal-Wallis algorithm selects the more discriminative face features. It is concluded that single classifier is unable to achieve the high accuracy rate. In order to improve the accuracy rate, two well-known classifiers are ensemble and then optimized using GA. After optimization process the ...
In: Mathematical Optimization Techniques, pp. 251–278. Berkeley-Los Angeles: University of California Press 1963 Google Scholar Lindström, B.: A combinatorial problem in thek-adic number systems. Proc. Amer. Math. Soc.18, 166–170 (1967) Article MATH MathSciNet Google Scholar Download ...
The use of the multivariate normal distribution as a latent construct for modelling observed correlated or associated discrete or ordinal variables can be dated back to the seminal book by Lazarsfeld and Henry (1968) and to the later work by Muthen (1983), in the context of structural equation ...
Systematic optimization of MapReduce Poly Support Vector Classification implemented a systematic search for tuning of parameters, such as polynomial kernel degree (d) and regularization parameter (RP) values to achieve best algorithm performance. A grid search procedure optimized the regularization parameter...