Higher Order Tensors for DNS Data Analysis and Compression

2020 ◽  
pp. 109-134
Author(s):  
Hemanth Kolla ◽  
Konduri Aditya ◽  
Jacqueline H. Chen
Keyword(s):  
Data Analysis ◽  
Higher Order ◽  
Higher Order Tensors

READING EXERCISES FOR VIII GRADE STUDENTS BASED ON BLOOM’S TAXONOMY

2017 ◽  
Vol 6 (3) ◽  
Author(s):  
Intan Permata Sari And Indra Hartoyo
Keyword(s):  
Data Analysis ◽  
Lower Order ◽  
Bloom's Taxonomy ◽  
Higher Order Thinking ◽  
Thinking Skills ◽  
Higher Order ◽  
Critical Thinking Skills ◽  
Thinking Skill ◽  
Level Of Education ◽  
Bloom’S Taxonomy

This study is aimed at (1) analyzing reading exercises based Bloom’s taxonomy for VIII grade in English on Sky textbook. (2) Found the distribution of the lower and higher order thinking skill in reading exercises. (3) To reason for level reading exercises. After analyzed the data, the result of the data analysis also infers that the six levels of Bloom’s taxonomy in reading exercises weren’t applied totally. The creating skill doesn’t have distribution in reading exercise, and the understanding – remembering level more dominant than another levels. The distribution of the higher order thinking level was lower than the lower order thinking level and the six levels are not appropriate with the proportion for each level of education based Bloom’s taxonomy, such as the distribution of the creating level in the reading exercise must be a concern because no question that belong to the creating level. It was concluded that reading exercises in English on Sky textbook cannot improve students' critical thinking skills for VIII grade.

scholarly journals Development of worksheet based on high-order thinking skills to improve high-order thinking skills of the students

2018 ◽  
Vol 2 (1) ◽  
pp. 37
Author(s):  
Yennita Yennita ◽  
Isra Khasyyatillah ◽  
Gibran Gibran ◽  
Mitri Irianti
Keyword(s):  
Data Analysis ◽  
Higher Order Thinking ◽  
Thinking Skills ◽  
Higher Order ◽  
High Order ◽  
Average Score ◽  
Thinking Skill ◽  
Ability Test ◽  
Higher Level Thinking ◽  
High Order Thinking

This research aimed to develop high order thinking skills  workheet in momentum, impulse, and collision topic for senior high school This type of research is Research and Development  follow 4D models, includes : define, design, develop and disseminate. Data collection instruments used validation sheets for given to 5 validator, Aspects assessed include graphic, presentation, language, and the contents of workheet. Based on the result of data analysis showed that all aspects got average score in the range of 3.4 to 4 with categories of  very high. Thus, high order thinking skills was valid. For the purposes of testing the worksheet is given on 68 students. to measure the effectiveness of worksheet used  Higher Level Thinking Ability Test that amounts to 12 items. Based on the result of data analysis indicate, There is difference of higher order thinking skill of students who use HOTS worksheet than who are not use HOTS worksheet, where the average Higher Order Thinking Skill on students who use HOTS worksheet higher

Appendix A: General Curvilinear Coordinate Systems and Higher-Order Tensors

2021 ◽  
pp. 525-572
Author(s):  
Pierre J. Carreau ◽  
Daniel C.R. De Kee ◽  
Raj P. Chhabra
Keyword(s):  
Higher Order ◽  
Coordinate Systems ◽  
Curvilinear Coordinate ◽  
Higher Order Tensors

SAS Nonlinear Models or Artificial Higher Order Neural Network Nonlinear Models?

2021 ◽  
pp. 174-217
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Data Analysis ◽  
Learning Algorithm ◽  
Nonlinear Models ◽  
Higher Order ◽  
Model Order ◽  
Higher Order Neural Networks ◽  
Parameter Values ◽  
Better Than

This chapter delivers general format of higher order neural networks (HONNs) for nonlinear data analysis and six different HONN models. Then, this chapter mathematically proves that HONN models could converge and have mean squared errors close to zero. Moreover, this chapter illustrates the learning algorithm with update formulas. HONN models are compared with SAS nonlinear (NLIN) models, and results show that HONN models are 3 to 12% better than SAS nonlinear models. Finally, this chapter shows how to use HONN models to find the best model, order, and coefficients without writing the regression expression, declaring parameter names, and supplying initial parameter values.

On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors

2000 ◽  
Vol 21 (4) ◽  
pp. 1324-1342 ◽  
Author(s):  
Lieven De Lathauwer ◽  
Bart De Moor ◽  
Joos Vandewalle
Keyword(s):  
Higher Order ◽  
Higher Order Tensors

scholarly journals Nuclear norm of higher-order tensors

2017 ◽  
Vol 87 (311) ◽  
pp. 1255-1281 ◽  
Author(s):  
Shmuel Friedland ◽  
Lek-Heng Lim
Keyword(s):  
Higher Order ◽  
Nuclear Norm ◽  
Higher Order Tensors

Multiscale analysis for higher-order tensors

2019 ◽  
Author(s):  
Alp Ozdemir ◽  
Ali Zare ◽  
Mark Iwen ◽  
Selin Aviyente
Keyword(s):  
Multiscale Analysis ◽  
Higher Order ◽  
Higher Order Tensors
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