Model validation by permutation tests: Applications to variable selection

1996 ◽  
Vol 10 (5-6) ◽  
pp. 521-532 ◽  
Author(s):  
Fredrik Lindgren ◽  
Björn Hansen ◽  
Walter Karcher ◽  
Michael Sjöström ◽  
Lennart Eriksson
Keyword(s):  
Variable Selection ◽  
Model Validation ◽  
Permutation Tests

Variable selection and model validation of 2D and 3D molecular descriptors>

2004 ◽  
Vol 18 (7-9) ◽  
pp. 451-474 ◽  
Author(s):  
Anthony Nicholls ◽  
Norah E. MacCuish ◽  
John D. MacCuish
Keyword(s):  
Variable Selection ◽  
Model Validation ◽  
Molecular Descriptors ◽  
2D And 3D

Reducing over-optimism in variable selection by cross-model validation

2006 ◽  
Vol 84 (1-2) ◽  
pp. 69-74 ◽  
Author(s):  
Endre Anderssen ◽  
Knut Dyrstad ◽  
Frank Westad ◽  
Harald Martens
Keyword(s):  
Variable Selection ◽  
Model Validation ◽  
Cross Model

Polarity and Variable Selection Heuristics for SAT-Based Anytime MaxSAT

2020 ◽  
Vol 12 (1) ◽  
pp. 17-22
Author(s):  
Alexander Nadel
Keyword(s):  
Variable Selection ◽  
Open Source ◽  
System Description

This paper is a system description of the anytime MaxSAT solver TT-Open-WBO-Inc, which won both of the weighted incomplete tracks of MaxSAT Evaluation 2019. We implemented the recently introduced polarity and variable selection heuristics, TORC and TSB, respectively, in the Open-WBO-Inc-BMO algorithm within the open-source anytime MaxSAT solver Open-WBO-Inc. As a result, the solver is substantially more efficient.

Database-Driven Modeling based on Variable Selection using Random Forest and Its Application for Linear Air Fuel Ratio Sensor Output Prediction

2019 ◽  
Vol 139 (8) ◽  
pp. 850-857
Author(s):  
Hiromu Imaji ◽  
Takuya Kinoshita ◽  
Toru Yamamoto ◽  
Keisuke Ito ◽  
Masahiro Yoshida ◽  
...  
Keyword(s):  
Random Forest ◽  
Variable Selection ◽  
Sensor Output ◽  
Fuel Ratio
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