This paper considers a new way for optimal material selection strategy using a combination of three well known methods; the Cambridge Material Selector based method, the adapted value engineering techniques and the technique for order preference by similarity to ideal solution.
For Linux, the scim input method selector allows to use Sinhalese script in applications like terminals or web browsers.
Apart from simple selectors, we introduced and used extended selectors for our method.
In this paper, we study a variable selection method via the Dantzig selector, proposed by Candes and Tao [2007. The Dantzig selector: statistical estimation when p is much larger than n. Annals of Statistics 35, 2313 2351], to screen important effects.
Application In reference [34], this study proposes a novel filter based on a probabilistic feature selection method, namely DFS (distinguishing feature selector), for text classification.
The Gene Collector method [27], selector probes [28], [29], and padlock probes/molecular inversion probes (MIPs) produced by array-released oligo libraries [30], [31] are enrichment techniques, in which the target DNA is circularized by a hybrid selection step followed by a ligation step and then amplified.
Bivariate bandwidth selectors like the SAMSE method are extremely useful because, although they are mathematically complex, they find optimal bandwidths using the actual data locations, removing subjectivity from the process.
In the second simulation, we compare the proposed stepwise correlation-based feature selector with other existing methods.
We tested the method using simple selectors and extended selectors for different datasets.
