Small Business Diagnosis Using Statistical Modelling and Artificial Intelligence

1993 ◽  
pp. 167-174
Author(s):  
Omer van der Horst Jansen
Keyword(s):  
Artificial Intelligence ◽  
Small Business ◽  
Statistical Modelling

An entropy concentration theorem: applications in artificial intelligence and descriptive statistics

1990 ◽  
Vol 27 (2) ◽  
pp. 303-313 ◽  
Author(s):  
Claudine Robert
Keyword(s):  
Artificial Intelligence ◽  
Maximum Entropy ◽  
Large Deviation ◽  
Maximum Entropy Principle ◽  
Statistical Modelling ◽  
Linear Constraints ◽  
Descriptive Statistics ◽  
Entropy Principle ◽  
Maximum Entropy Distribution ◽  
Mathematical Justification

The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints. We give an entropy concentration theorem (whose demonstration is based on large deviation techniques) which is a mathematical justification of this statistical modelling principle. Then we indicate how it can be used in artificial intelligence, and how relevant prior knowledge is provided by some classical descriptive statistical methods. It appears furthermore that the maximum entropy principle yields to a natural binding between descriptive methods and some statistical structures.

scholarly journals Technology analysis of artificial intelligence using Bayesian inference for neural networks

2018 ◽  
Vol 7 (2.3) ◽  
pp. 43
Author(s):  
Sunghae Jun
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Bayesian Inference ◽  
Industrial Revolution ◽  
Statistical Modelling ◽  
Fourth Industrial Revolution ◽  
Research Institutes ◽  
Patent Documents ◽  
The Internet Of Things

At present, artificial intelligence (AI) technology is receiving much attention and applied in each field of society. AI is one of the key technologies to lead the fourth industrial revolution along with the internet of things and big data. Therefore, many companies and research institutes are trying to systematically analyze AI technology in order to understand the AI itself correctly. In this paper, we also study on a method to analyze AI technology based on quantitative approach. We correct the patent documents related to AI technology, and analyze them using statistical modelling. We use Bayesian inference for neural networks to build our proposed method. To verify the validity of our research, we carry out a case study using the AI patent documents.

scholarly journals Artificial intelligence versus logistic regression statistical modelling to predict cardiac complications after noncardiac surgery

1994 ◽  
Vol 17 (11) ◽  
pp. 609-614 ◽  
Author(s):  
Jean Lette ◽  
Bruce W. Colletti ◽  
Michel Cerino ◽  
Daniel Mcnamara ◽  
Marie-Claire Eybalin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Logistic Regression ◽  
Statistical Modelling ◽  
Noncardiac Surgery ◽  
Cardiac Complications

An entropy concentration theorem: applications in artificial intelligence and descriptive statistics

1990 ◽  
Vol 27 (02) ◽  
pp. 303-313 ◽  
Author(s):  
Claudine Robert
Keyword(s):  
Artificial Intelligence ◽  
Maximum Entropy ◽  
Large Deviation ◽  
Maximum Entropy Principle ◽  
Statistical Modelling ◽  
Linear Constraints ◽  
Descriptive Statistics ◽  
Entropy Principle ◽  
Maximum Entropy Distribution ◽  
Mathematical Justification

The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints. We give an entropy concentration theorem (whose demonstration is based on large deviation techniques) which is a mathematical justification of this statistical modelling principle. Then we indicate how it can be used in artificial intelligence, and how relevant prior knowledge is provided by some classical descriptive statistical methods. It appears furthermore that the maximum entropy principle yields to a natural binding between descriptive methods and some statistical structures.

scholarly journals The Effect of the Use and Knowledge of AI on the Advanced Entrepreneurship in Saudis Small Business and Startups

2020 ◽  
Vol 15 (12) ◽  
pp. 35
Author(s):  
Reem Mahmoud Ahmad Mashat
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Small Business ◽  
Small Businesses ◽  
Local Market ◽  
Kingdom Of Saudi Arabia ◽  
Research Results ◽  
Use Of Technology ◽  
Actual Use

The study aims to study the actual use of the AI (Artificial intelligence) among small businesses in Saudi Arabia, and the effect of this use and the knowledge on the advanced entrepreneurship in these businesses. The actual use and knowledge were measured, along with the effect of these variables on the advanced entrepreneurship. The sample chosen was 204 small businesses and startups from three main cities in KSA. The sample was mostly of technology related businesses 45%, and others as of service related and manufacturing simple products. The results show a lack of both the actual use of AI technology and knowledge of this technology. The results also show this lack is affecting the entrepreneurship of theses business and their abilities to grow with a sense of creativity in the local market. The research demonstrates the need for AI technology to strength the entrepreneurship among small business in Saudi Arabia. The research results close a gap in the available literature of small business use of technology and demonstrating advanced entrepreneurship in Kingdom of Saudi Arabia. Further research is needed to understand the reasons of the lack of the use of AI among these businesses in Saudi Arabia.

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