Бардык адамдар өз беделинде жана укуктарында эркин жана тең укуктуу болуп жаралат. Алардын аң-сезими менен абийири бар жана бири-бирине бир туугандык мамиле кылууга тийиш.
Bardıq adamdar öz bedelïnde jana wqwqtarında erkïn jana teñ wqwqtww bolwp jaralat. Alardın añ-sezïmï menen abïyrï bar jana bïrï-bïrïne bïr twğandıq mamïle qılwwğa tïyïş.
Bardıq adamdar öz bedelinde jana uquqtarında erkin jana teñ uquqtuu bolup jaralat. Alardın añ-sezimi menen abiyiri bar jana biri-birine bir tuuğandıq mamile qıluuğa tiyiş.
All human beings are born free and equal in dignity and rights. They are endowed with reason and conscience and should act towards one another in a spirit of brotherhood.
参考文献
^Ferdinand, S. & Komlósi, F. 2016. Vitality of the Kyrgyz Language in Bishkek. IJORS 5-2, pp.210-226. [10 September 2016].
末昂语 ‧ 嘎苏话(英语:Kathu language) ‧ Manga language (Sino-Tibetan)(英语:Manga language (Sino-Tibetan)) ‧ Mango language (Sino-Tibetan)(英语:Mango language (Sino-Tibetan)) ‧ Maza language(英语:Maza language) ‧ 曼子语(英语:Mondzi language) ‧ Muangphe language(英语:Muangphe language)
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1 I having trouble getting my ResourceDictionary.MergedDictionaries to load from app.xaml. My WPF app has a static class with a Main defined and startup object set to it. Within Main I created an instance of App and run it. The override OnStartup fires and the mainwindow.cs InitializeComponent gives the error "Message "Cannot find resource named 'MaterialDesignFloatingActionMiniAccentButton'. If I put the resources in the mainwindow.xaml everything is fine, but I wanted them to load at the app level so I they are not in each page. Any help appreciated. public partial class App protected override void OnStartup(StartupEventArgs e) base.OnStartup(e); var app = new MainWindow(); var context = new MainWindowViewModel(); app.DataContext = context; app.Show(); from the Main.. var app = new App(); app.Run(); app.xaml.. <Application x:Class="GS.Server.App" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:...
up vote 2 down vote favorite There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row. Here is a visualization of missing data My tries up until now, I used ycimpute library to learn from other values, and applied Iterforest. I noted, score of Logistic regression is so weak (0.6) and thought Iterforest might not learn enough or anyway, except from outer subset which might not be enough? for example the subset with 11 columns might learn from the other columns but not from within it's members, and the same goes for the subset with four columns. This bar plot show better quantity of missings So of course, dealing with missings is better than dropping rows because It would affect my prediction which does contain the same missings quantity relatively. Any better way to deal with these ? [EDIT] The nullity pattern is confirmed: machine-learning cor...