Class Balanced Sampling for the Training in GANs

2021 ◽  
Author(s):  
Sanghun Kim ◽  
Seungkyu Lee
Keyword(s):  
Balanced Sampling

scholarly journals A simulated annealing-based algorithm for selecting balanced samples

2021 ◽  
Author(s):  
Roberto Benedetti ◽  
Maria Michela Dickson ◽  
Giuseppe Espa ◽  
Francesco Pantalone ◽  
Federica Piersimoni
Keyword(s):  
Simulated Annealing ◽  
Optimization Problem ◽  
Sample Selection ◽  
Auxiliary Information ◽  
Real Data ◽  
Simulation Experiments ◽  
Balanced Sampling ◽  
Inclusion Probabilities ◽  
Random Method ◽  
Annealing Algorithms

AbstractBalanced sampling is a random method for sample selection, the use of which is preferable when auxiliary information is available for all units of a population. However, implementing balanced sampling can be a challenging task, and this is due in part to the computational efforts required and the necessity to respect balancing constraints and inclusion probabilities. In the present paper, a new algorithm for selecting balanced samples is proposed. This method is inspired by simulated annealing algorithms, as a balanced sample selection can be interpreted as an optimization problem. A set of simulation experiments and an example using real data shows the efficiency and the accuracy of the proposed algorithm.

scholarly journals Spatially balanced sampling designs for environmental surveys

2019 ◽  
Vol 191 (8) ◽  
Author(s):  
Claire Kermorvant ◽  
Frank D’Amico ◽  
Noëlle Bru ◽  
Nathalie Caill-Milly ◽  
Blair Robertson
Keyword(s):  
Balanced Sampling ◽  
Environmental Surveys ◽  
Spatially Balanced Sampling

scholarly journals Balanced sampling switch for high linearity and a wide temperature range in low power SAR ADCs

2019 ◽  
Vol 55 (24) ◽  
pp. 1273-1275 ◽  
Author(s):  
J.E. Kim ◽  
T. Yoo ◽  
K.‐H. Baek ◽  
T.T.‐H. Kim
Keyword(s):  
Low Power ◽  
Wide Temperature Range ◽  
Temperature Range ◽  
Balanced Sampling ◽  
High Linearity

Construction of Some Non-Invariant Balanced Sampling Designs

1982 ◽  
Vol 31 (3-4) ◽  
pp. 165-184
Author(s):  
S. Sengupta
Keyword(s):  
Fixed Size ◽  
Balanced Sampling ◽  
Inclusion Probabilities ◽  
Selection Of

The problem considered in this paper is that of construcHng fixed size sampling designs having constant inclusion probabilities of first two orders. Some such sampling designs are developed in situations where the population units are subject to classification in one or more ways eliminating the chance of selection of samples for which the units have too lopsided a distribution over the classes.

scholarly journals Optimal inclusion probabilities for balanced sampling

2011 ◽  
Vol 141 (2) ◽  
pp. 984-994 ◽  
Author(s):  
G. Chauvet ◽  
D. Bonnéry ◽  
J.-C. Deville
Keyword(s):  
Balanced Sampling ◽  
Inclusion Probabilities
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