mixed ensemble
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2021 ◽  
Vol 10 (1) ◽  
pp. 67-70
Author(s):  
Gilank Yonsutrisno ◽  
Muhamad Idris ◽  
Deria Sepdwiko

This study aims to describe mixed ensemble learning in extracurricular activities in class IX students of SMP Negeri 15 Palembang. The research method used is descriptive qualitative with data collection techniques in the form of observation, interviews, and documentation. The preparation of the trainer before doing the learning is to determine the material that is taught to students at each meeting, then the trainer determines the strategies and learning methods that will be used in learning so that learning objectives are achieved. The implementation of mixed ensemble learning at SMP Negeri 15 Palembang includes; 1) The mixed ensemble learning process consists of group division, placement and selection of musical instruments, learning for each instrument, 2) Mixed ensemble learning includes three stages, namely preparation, implementation, and evaluation


2020 ◽  
Vol 19 ◽  

This paper describes a design that can be used for Explainable AI. The lower level is a nested ensemble of patterns created by self-organisation. The upper level is a hierarchical tree, where nodes are linked through individual concepts, so there is a transition from mixed ensemble masses to specific categories. Lower-level pattern ensembles are learned in an unsupervised manner and then split into branches when it is clear that the category has changed. Links between the two levels define that the concepts are learned and missing links define that they are guessed only. This paper proposes some new clustering algorithms for producing the pattern ensembles, that are themselves an ensemble which converges through aggregations. Multiple solutions are also combined, to make the final result more robust. One measure of success is how coherent these ensembles are, which means that every data row in the cluster belongs to the same category. The total number of clusters is also important and the teaching phase can correct the ensemble estimates with respect to both of these. A teaching phase would then help the classifier to learn the true category for each input row. During this phase, any classifier can learn or infer correct classifications from some other classifier's knowledge, thereby reducing the required number of presentations. As the information is added, cross-referencing between the two structures allows it to be used more widely, where a unique structure can build up that would not be possible by either method separately.


2020 ◽  
Vol 9 (3) ◽  
pp. 8
Author(s):  
Marlisna Marlisna ◽  
Marzam Marzam

AbstractThis research aims to describe the form of a Kasidah Rebana presentation in a wedding party in Jorong SarohaTamiang, Lembah Melintang District, West Pasaman Regency. This research is a qualitative research which focuseson getting issues related to the topic. The data were collected through literature study, observation, interviews, and documentation. The development of sophisticated era and the cultures and arts developed in community give positive and negative effects. However, the art of Kasidah Rebana in the Jorong Saroha Tamiang still exists and is the choice of the community to be presented in a wedding party.The presentation form of Kasidah Rebana in the wedding party now has undergone many changes towards a more modern direction in accordance with the times. This can be seen from the sound system and formations, which neatly arranged by the group on stage, provided by the committee. Based on the composition, the rhythm pattern played is in accordance to the rhythmic musical instrument as well as the keyboard melody combined with chord harmonization and sound distribution. The vocalist sings the song according to the structure of the song's form and the expression according to the song's verse. These are combined to produce a beautiful tambourine blend.Based on the results of the study, to be more creative is an advice the author gives to the group. Song references, music compositions and costumes can be differently arranged, for instance. Thus, it is more interesting and more demanded by the community. The form of a Kasidah Rebana presentation is a mixed ensemble played by 12 players consisting of two vocalists, two tambourine players, two rhythm players, two bass players, three ketipung players, and one keyboard player.Keywords: form of presentation, kasidah rebana, wedding party


2019 ◽  
Vol 8 (3) ◽  
pp. 9
Author(s):  
Putri Ariska Fitri ◽  
. Jagar Lumbantoruan ◽  
Irdhan Epria Darma Putra

AbstractThe purpose of this work is to arrange Ayah song as a form of expression of the author's musical experience in arranging, making musical arrangements that are relevant to the works of musical works of students and maximizing the potential of human resources (students) in school. In this work, the author uses a mixed ensemble presentation format. The musical instruments used for accompanying vocals are pianika, piano, guitar, bass, and drum-set. This arrangement uses 2 parts, namely part A and part B with a time signature of 4/4. Part A starts from 1 time to 46 time and part B starts from the time of 47 to 103. The musical arrangement of this work contains lyrics that tell about the attitude of a father who loves and protects his child. The development techniques applied are (1) repetition melodically and rhythmically, (2) sequences, (3) augmentation, (4) diminution, and various other techniques without changing the essence of the song Ayah.Keywords: Arrangement, School Music, Father's Song.


Author(s):  
Zhenhua Chen ◽  
Weili Jiang ◽  
Ma Lei ◽  
Junpeng Zhang ◽  
Jinshan Hu ◽  
...  

Author(s):  
Dangguo Shao ◽  
Yan Xiang ◽  
Junpeng Zhang ◽  
Jinshan Hu ◽  
Ma Lei ◽  
...  

Author(s):  
Shizuka Sutani ◽  
Taichi Akutsu

In this study, the authors describe the reflective practices of a violin group instruction session that evolved into a mixed ensemble lesson in which the participants at a Japanese special high shared thoughts and feelings about the 9-11 terrorist attack in New York City. The lesson originally planned for a group violin instruction; however, the students and teacher co-created and arranged the lessons into a mixed ensemble practice in order to share their thoughts concerning the disaster victims. While students were learning the violins, T, by coincidence, found a lyric along with chord progression indicated on a sheet of paper set on a music stand in the corner of the classroom. The name of the song was “Hanamizuki,” the popular Japanese song by Yo Hitoto dedicated to the victims of 9-11. This chapter presents how the teacher's reflective practice and students' active involvement co-created the contents of the class and made an unexpected connection through a song they learned about 9-11.


2016 ◽  
Vol 55 (10) ◽  
pp. 2301-2322 ◽  
Author(s):  
D. J. Rasmussen ◽  
Malte Meinshausen ◽  
Robert E. Kopp

AbstractQuantitative assessment of climate change risk requires a method for constructing probabilistic time series of changes in physical climate parameters. Here, two such methods, surrogate/model mixed ensemble (SMME) and Monte Carlo pattern/residual (MCPR), are developed and then are applied to construct joint probability density functions (PDFs) of temperature and precipitation change over the twenty-first century for every county in the United States. Both methods produce likely (67% probability) temperature and precipitation projections that are consistent with the Intergovernmental Panel on Climate Change’s interpretation of an equal-weighted Coupled Model Intercomparison Project phase 5 (CMIP5) ensemble but also provide full PDFs that include tail estimates. For example, both methods indicate that, under “Representative Concentration Pathway” 8.5, there is a 5% chance that the contiguous United States could warm by at least 8°C between 1981–2010 and 2080–99. Variance decomposition of SMME and MCPR projections indicates that background variability dominates uncertainty in the early twenty-first century whereas forcing-driven changes emerge in the second half of the twenty-first century. By separating CMIP5 projections into unforced and forced components using linear regression, these methods generate estimates of unforced variability from existing CMIP5 projections without requiring the computationally expensive use of multiple realizations of a single GCM.


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