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pro vyhledávání: '"Leke, Collins"'
Autor:
Leke, Collins Achepsah
M.Ing. (Electrical and Electronic Engineering)
Missing data is an issue which leads to a variety of problems in the analysis and processing of data in datasets in almost every aspect of day−to−day life. Due to this reason missing data and wa
Missing data is an issue which leads to a variety of problems in the analysis and processing of data in datasets in almost every aspect of day−to−day life. Due to this reason missing data and wa
Externí odkaz:
http://hdl.handle.net/10210/9858
Autor:
Leke, Collins, Marwala, Tshilidzi
In this paper, we examine the problem of missing data in high-dimensional datasets by taking into consideration the Missing Completely at Random and Missing at Random mechanisms, as well as theArbitrary missing pattern. Additionally, this paper emplo
Externí odkaz:
http://arxiv.org/abs/1607.00136
In the last couple of decades, there has been major advancements in the domain of missing data imputation. The techniques in the domain include amongst others: Expectation Maximization, Neural Networks with Evolutionary Algorithms or optimization tec
Externí odkaz:
http://arxiv.org/abs/1512.01362
This paper presents methods which are aimed at finding approximations to missing data in a dataset by using optimization algorithms to optimize the network parameters after which prediction and classification tasks can be performed. The optimization
Externí odkaz:
http://arxiv.org/abs/1403.5488
Publikováno v:
e-Prime - Advances in Electrical Engineering, Electronics and Energy; June 2024, Vol. 8 Issue: 1
Publikováno v:
2014 IEEE International Conference on Systems, Man & Cybernetics (SMC); 2014, p1400-1404, 5p