N. Diwan, M.S. McIntosh, and G.R Bauchan. Methods of developing core collection of annual medicago species. Theor. Appl. Genetics, 90:755-761, 1995. Home/Search Document Not in Database Summary Related Articles Check |
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Using Data Mining for Crop Genebank Management - Addala, al. (Correct)
.... Source R,C,P,L 1358 140 yes yes no no yes no [3] R,C,L,P,M 2500 250 yes yes no no no no [2] R,S,C 2000 200 yes yes no no no no [20] R,C,P,L,Cl 96 10 no yes no no no no [19] R,C,P,L,CAN 3000 500 no yes no no yes no [21] R,E,P 105 10 yes no no no no no [9] R,C,P,L 1240 211 yes no no no no no [8] R,E,C,P L,CAN,PCA PCSS 6300 630 yes yes yes yes yes no [1] Table 2: A review of comparing the efficiency of the sampling methods Canadian Artificial Intelligence Winter 2000 9 2.2 Core Collection: A Machine Learning Perspective Machine Learning is a field concerned with developing ....
N. Diwan, M.S. McIntosh, and G.R Bauchan. Methods of developing core collection of annual medicago species. Theor. Appl. Genetics, 90:755-761, 1995.
Sampling: An efficient, simple and robust technique for scaling.. - Addala (Correct)
....for the USDA durum wheat database. They found that R, E, C and P strategies produced samples representative of the original data set, while the L and CAN strategies resulted in samples with an increased frequency of rare characters and a larger variance for some quantitative attributes. Diwan [5] compared R, C, P, L, and six cluster based strategies on 36 species of annual Medicago. They concluded that the cluster based sampling was acceptable, but the relative diversity method within the six cluster based strategies was better. Bataillon et al. [1] conducted a simulation experiment to ....
N. Diwan, M.S. McIntosh, and G.R Bauchan. Methods of developing core collection of annual medicago species. Theor. Appl. Genetics, 90:755--761, 1995.
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