Sentence examples for experiments for the selection from inspiring English sources

As a consequence of previous results from submodular optimization (Feige, 1998; Krause and Guestrin, 2005; Nemhauser et al., 1978), we could prove that the greedy method exhibits the best constant approximation factor (unless P = NP) to design experiments for the selection among alternative dynamical systems.

Experiments for the selection of genetically resistant animals can be traced back as early as the 1930's [ 4, 5] and the first step was the demonstration that distinct disease resistances or susceptibilities exist between different lines or breeds of chicken.

Brain regions of six LE-rats and six HE-rats, not used in any experiments but for the selection, were dissected and used for total RNA isolation and cDNA synthesis as described previously (Pruunsild et al., 2007).

First, we present the experiment results for the selection of α in initial segmentation.

Five TV sets were selected for the experiment (the selection included the HDTV with SRR).

As interpretation and use of available experimental data depend on the model structure, techniques for design of experiments for selection of the best model are of fundamental importance.

However, Conover et al. (2009) recently provided evidence from laboratory experiments for the partial recovery after selection is relaxed: in the continuation of the experiment mentioned previously, generations 6 10 of M. menidia were harvested randomly, and the final populations displayed a partial recovery, at least for size-at-age (Conover et al. 2009).

Moreover, the first experiment is also used for the selection of n and k for the weighted squared Euclidean distance.

This experiment quantifies the selection for this habitat by juveniles of the common sole Solea solea.

Due to the within-family selection method used to choose breeders for the selection experiment, the breeders for the present experiment usually had three siblings (one of the same sex, two of the opposite sex) also included in the experiment.

In classical statistics, ensemble non-centrality constitutes the reference technique to design experiments for model selection (Atkinson and Fedorov, 1975; Ponce De Leon and Atkinson, 1991; Skanda and Lebiedz, 2012).