March 8 & 9, 1966, March 20, 1967 and January 8, 1973 New York City
Genre
Jazz
Length
83:36
Label
Atlantic SD 2-311
Producer
Arif Mardin, Marvin Lagunoff, Eddie Harris
Eddie Harris chronology
Eddie Harris Sings the Blues (1972)
Excursions (1973)
E.H. in the U.K. (1974)
Excursions is an album by American jazz saxophonist Eddie Harris released on the Atlantic label, mainly recorded in 1973 but featuring some tracks recorded in 1966 and 1967.[1][2] The album features two tracks recorded at the sessions for Mean Greens (Atlantic, 1966).[3] Also included are four tracks recorded at the sessions for The Electrifying Eddie Harris (Atlantic, 1967).[4]
Contents
1Reception
2Track listing
3Personnel
4References
Reception[edit]
Professional ratings
Review scores
Source
Rating
Allmusic
[5]
The Allmusic review states: "Eddie Harris is heard in top form on the diverse program, some of which is funky and some of which is purely straightahead."[5]
Track listing[edit]
All compositions by Eddie Harris except as indicated
Disc One:
"Drunk Man" - 3:19
"Renovated Rhythm" - 4:53
"Inapplicable Concord" - 4:09
"Listen Here Goes Funky" - 8:21
"Turbulence" (Harris, Muhal Richard Abrams, Billy James, Ronald Muldrow, Rufus Reid) - 16:35
"Of Age" (Harris, Jodie Christian) - 3:05
Recorded in New York City on March 20, 1967 (track 6) and January 8, 1973 (track 1-5)
Disc Two:
"Fragmentary Apparitions" - 10:46
"Hey Wado" - 5:53
"Aleph the Fool" - 4:31
"Recess" - 5:40
"I'm Lonely" (Marvin Lagunott) - 4:02
"Oleo" (Sonny Rollins) - 10:35
Recorded in New York City on March 8, 1966 (track 4), March 9, 1966 (track 2), March 20, 1967 (tracks 3, 5 & 6) and January 8, 1973 (track 1)
Personnel[edit]
Eddie Harris - tenor saxophone, varitone, reed trumpet
Jodie Christian (Disc One, track 6, Disc Two, tracks 3, 5 & 6), Cedar Walton (Disc Two, tracks 2 & 4) - piano
Muhal Richard Abrams (Disc One, tracks 4 & 5), Larry Nash (Disc One, tracks 1-3, Disc Two, track 1) - electric piano
Ronald Muldrow - electric guitar (Disc One, tracks 1-5)
Ron Carter (Disc Two, tracks 2 & 4), Melvin Jackson (Disc One, track 6, Disc Two, tracks 3, 5 & 6), Rufus Reid (Disc One, tracks 1-5) - bass
Billy Higgins (Disc Two, tracks 2 & 4), Billy James (Disc One, tracks 1, 4 & 5), Richard Smith (Disc One, track 6, Disc Two, tracks 3, 5 & 6) - drums
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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...