Evaluation of pupillary response characteristics measured by pupillometry in differentiating MS from NMOSD with the machine-learning approach: a potential pupillary pattern recognition method

2018 ◽  
Author(s):  
Sara Samadzadeh
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Pupillary Response ◽  
Learning Approach ◽  
Pattern Recognition Method ◽  
Recognition Method ◽  
Response Characteristics ◽  
Machine Learning Approach

Driver Recognition on Segway

2012 ◽  
Vol 3 (1) ◽  
pp. 76-88
Author(s):  
Hiroshi Sato ◽  
Julien Rossignol
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Support Vector ◽  
Learning Approach ◽  
Statistical Machine Learning ◽  
Recognition Method ◽  
Human Behaviors ◽  
Machine Learning Approach ◽  
User Friendly

Statistical machine learning approach to understand human behaviors has been attracting considerable amounts of attention in recent years. If the authors understand more about humans, the authors can make more user-friendly machines. In this paper, the authors propose the driver recognition method from their record of manipulations using support vector machine. The authors demonstrate the efficiency of the authors’ method using the Segway. The performance of the recognition is quite good especially when the authors introduce the pre-process with FFT.

scholarly journals A Survey of kNN Algorithm

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Jingwen Sun ◽  
Weixing Du ◽  
Niancai Shi
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Pattern Recognition Method ◽  
Recognition Method ◽  
Related Literature ◽  
Machine Learning Classification ◽  
Advantages And Disadvantages ◽  
Implementation Steps

The kNN algorithm is a well-known pattern recognition method, which is one of the best text classifi cation algorithms. It is one of the simplest machine learning algorithms in machine learning classification algorithm. In this paper, we summarize the kNN algorithm and related literature, introduce the idea, principle, implementation steps and implementation code of kNN algorithm in detail, and analyze the advantages and disadvantages of the algorithm and its various improvement schemes. This paper also introduces the development of kNN algorithm, the important published papers. At the end of this paper, the application of kNN algorithm is introduced, and its implementation in text classifi cation is emphasized.

1552-P: Machine Learning Approach to Decision-Making for Initial Insulin Use in Japanese Patients with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1552-P
Author(s):  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
YASUHIRO MATSUBAYASHI ◽  
MASAHIKO YAMAMOTO ◽  
TOSHIHIRO IIZUKA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Type 2 Diabetes ◽  
Decision Making ◽  
Japanese Patients ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Insulin Use

A Machine Learning Approach to Jet-Surface Interaction Noise Modeling

2020 ◽  
Author(s):  
Clifford A. Brown ◽  
Jonny Dowdall ◽  
Brian Whiteaker ◽  
Lauren McIntyre
Keyword(s):  
Machine Learning ◽  
Surface Interaction ◽  
Learning Approach ◽  
Noise Modeling ◽  
Machine Learning Approach
Sign in / Sign up

Export Citation Format

Share Document