PromPredictor: A Hybrid Machine Learning System for Recognition and Location of Transcription Start Sites in Human Genome

2005 ◽  
pp. 552-563
Author(s):  
Tao Li ◽  
Chuanbo Chen
Keyword(s):  
Machine Learning ◽  
Human Genome ◽  
Learning System ◽  
Transcription Start ◽  
Transcription Start Sites ◽  
Hybrid Machine

Hybrid Machine Learning System for Solving Fraud Detection Tasks

2020 ◽  
Author(s):  
Olena Vynokurova ◽  
Dmytro Peleshko ◽  
Oleksandr Bondarenko ◽  
Vadim Ilyasov ◽  
Vladislav Serzhantov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Fraud Detection ◽  
Learning System ◽  
Hybrid Machine

Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners

2019 ◽  
Vol 13 (3) ◽  
pp. 3120-3128 ◽  
Author(s):  
Jui-Sheng Chou ◽  
Shu-Chien Hsu ◽  
Ngoc-Tri Ngo ◽  
Chih-Wei Lin ◽  
Chia-Chi Tsui
Keyword(s):  
Machine Learning ◽  
Smart Grid ◽  
Electricity Consumption ◽  
Learning System ◽  
Air Conditioners ◽  
Hybrid Machine ◽  
Grid Based

Hybrid machine learning system for integrated yield management in semiconductor manufacturing

1998 ◽  
Vol 15 (2) ◽  
pp. 123-132 ◽  
Author(s):  
Boo-Sik Kang ◽  
Jang-Hee Lee ◽  
Chung-Kwan Shin ◽  
Song-Jin Yu ◽  
Sang-Chan Park
Keyword(s):  
Machine Learning ◽  
Semiconductor Manufacturing ◽  
Yield Management ◽  
Learning System ◽  
Hybrid Machine

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Ferdinand Filip ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Data Science ◽  
State Of The Art ◽  
Science Methods ◽  
Learning Models ◽  
Diverse Range ◽  
Hybrid Machine ◽  
Economics Research

This paper provides a state-of-the-art investigation of advances in data science in emerging economic applications. The analysis was performed on novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a wide and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, was used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which, based on the accuracy metric, outperform other learning algorithms. It is further expected that the trends will converge toward the advancements of sophisticated hybrid deep learning models.

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