Indian Nifty Basis Change from Full Market Cap to Free-Float Basis

2009 ◽  
Author(s):  
Jagannadham Thunuguntla
Keyword(s):  
Basis Change

A Computation Study on Start Procedures, Basis Change Criteria, and Solution Algorithms for Transportation Problems

1974 ◽  
Vol 20 (5) ◽  
pp. 793-813 ◽  
Author(s):  
Fred Glover ◽  
D. Karney ◽  
D. Klingman ◽  
A. Napier
Keyword(s):  
Transportation Problems ◽  
Solution Algorithms ◽  
Basis Change

A Comparison of Computation Times for Various Starting Procedures, Basis Change Criteria, and Solution Algorithms for Distribution Problems

1971 ◽  
Author(s):  
D. Karney ◽  
D. Klingman ◽  
Fred Glover ◽  
A. Napier
Keyword(s):  
Solution Algorithms ◽  
Basis Change ◽  
Distribution Problems

A Framework for the Areal Interpolation of Socioeconomic Data

1993 ◽  
Vol 25 (3) ◽  
pp. 383-397 ◽  
Author(s):  
M F Goodchild ◽  
L Anselin ◽  
U Deichmann
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Spatial Data ◽  
Geographical Information ◽  
Areal Interpolation ◽  
Spatial Objects ◽  
Basis Change ◽  
Socioeconomic Data ◽  
Made In

Spatial data are collected and represented as attributes of spatial objects embedded in a plane. Basis change is defined as the transfer of attributes from one set of objects to another. Methods of basis change for socioeconomic data are reviewed and are seen to differ in the assumptions made in each about underlying density surfaces. These methods are extended to more general cases, and an illustration is provided by using Californian data. The implementation of this framework within a geographical information system is discussed.

scholarly journals Vector Space Basis Change in Information Retrieval

2014 ◽  
Vol 18 (3) ◽  
Author(s):  
Rabeb Mbarek ◽  
Mohamed Tmar ◽  
Hawete Hattab
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Basis Change

The basis-change algorithm for fast finite field transforms

2002 ◽  
Author(s):  
R.-S. Kao ◽  
F.J. Taylor
Keyword(s):  
Finite Field ◽  
Basis Change

scholarly journals A Nonlinear Support Vector Machine Analysis Using Kernel Functions for Nature and Medicine

2021 ◽  
Vol 319 ◽  
pp. 01103
Author(s):  
Benajiba Yassin ◽  
Chrayah Mohamed ◽  
Al-Amrani Yassine
Keyword(s):  
Artificial Intelligence ◽  
Kernel Functions ◽  
Support Vector ◽  
Advantages And Disadvantages ◽  
Intractable Problems ◽  
Supervised Methods ◽  
Basis Change ◽  
Product Sales ◽  
Machine Analysis ◽  
Nonlinear Support

After the emergence of Artificial Intelligence (AI), great developments have taken place in the fields of science, economics, medicine and all other fields that use computer science. Along with the resulting developments in these fields, artificial intelligence has also solved many intractable problems, such as predicting specific serious diseases, determining future product sales, as well as analyzing and studying big data in the shortest possible time … SVM is one of the most important technologies in this field of artificial intelligence that goes into supervised methods, and which every machine learning expert should have in his/her arena. For this reason, in this article, we studied this technique and determined its advantages and disadvantages as well as its fields of application. Next, we applied this technique to three different databases, using four basis change functions, and we compared the results obtained to determine the best way to use the basis change functions.

scholarly journals Consumer sentiment in Europe and Russia: informational basis change assessment

2019 ◽  
Author(s):  
S. G. Bychkova ◽  
L. S. Parshintseva
Keyword(s):  
Consumer Sentiment ◽  
Change Assessment ◽  
Informational Basis ◽  
Basis Change
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