Milt Jackson and the Hip String Quatet is an album by vibraphonist Milt Jackson accompanied by a string quartet arranged and conducted by Tom McIntosh that was recorded in 1968 and released on the Verve label.[1]
Contents
1Reception
2Track listing
3Personnel
4References
Reception[edit]
The Allmusic review awarded the album three out of five stars.[2]
Professional ratings
Review scores
Source
Rating
Allmusic
[2]
Track listing[edit]
"You Got to Pay When the Deal Goes Down" (Tom McIntosh) - 3:28
"The Morning After" (Bernard Ebbinghouse) - 3:30
"For All We Know" (J. Fred Coots, Sam M. Lewis) - 3:29
"A Walkin' Thing" (Benny Carter) - 5:33
"In Walked Bud" (Thelonious Monk) - 3:37
"A Little Too Much" (Mike Appel, Don Henny) - 3:46
"Bags and Strings" (Milt Jackson) - 3:30
"New Rhumba" (Ahmad Jamal) - 4:13
Recorded on May 9, 1968 (track eight), June 3, 1968 (tracks four and seven) and June 17, 1968 (tracks one to three, five and six)
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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...
