scholarly journals Parallel software auto-tuning using statistical modeling and machine learning

2018 ◽  
pp. 046-053
Author(s):  
A.Yu. Doroshenko ◽  
◽  
P.A. Ivanenko ◽  
O.S. Novak ◽  
O.A. Yatsenko ◽  
...  
Keyword(s):  
Machine Learning ◽  
Statistical Modeling ◽  
Parallel Software ◽  
Auto Tuning

Machine learning versus statistical modeling

2014 ◽  
Vol 56 (4) ◽  
pp. 588-593 ◽  
Author(s):  
Anne-Laure Boulesteix ◽  
Matthias Schmid
Keyword(s):  
Machine Learning ◽  
Statistical Modeling

Towards statistical modeling and machine learning based energy usage forecasting in smart grid

2015 ◽  
Vol 15 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Wei Yu ◽  
Dou An ◽  
David Griffith ◽  
Qingyu Yang ◽  
Guobin Xu
Keyword(s):  
Machine Learning ◽  
Smart Grid ◽  
Statistical Modeling ◽  
Energy Usage

scholarly journals Auto-tuning parallel software: an interview with Thomas Fahringer

Ubiquity ◽  
2014 ◽  
Vol 2014 (June) ◽  
pp. 1-9 ◽  
Author(s):  
Walter Tichy
Keyword(s):  
Parallel Software ◽  
Auto Tuning

scholarly journals A Note on Combining Machine Learning with Statistical Modeling for Financial Data Analysis

Risks ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 32 ◽  
Author(s):  
José María Sarabia ◽  
Faustino Prieto ◽  
Vanesa Jordá ◽  
Stefan Sperlich
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Stock Returns ◽  
Prior Knowledge ◽  
Statistical Modeling ◽  
Financial Data ◽  
Adaptive Inference ◽  
Data Adaptive ◽  
Financial Data Analysis ◽  
Global And Local

This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local estimation and the combining of explicit modeling with purely data adaptive inference. Then, we discuss stepwise approaches with different ways of integrating machine learning. Furthermore, for the modeling of prior knowledge, we introduce classes of distribution families for financial data. The proposed procedures are illustrated with data on stock returns for five companies of the Spanish value-weighted index IBEX35.

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