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Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM
(2018-12-20)
Coherent optical orthogonal frequency division multiplexing (CO-OFDM) has attracted a lot of interest in optical fiber communications due to its simplified digital signal processing (DSP) units, high spectral-efficiency, ...
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
(2023)
Reinforcement Learning (RL) is a machine learning paradigm wherein an artificial agentinteracts with an environment with the purpose of learning behaviour that maximizesthe expected cumulative reward it receives from the ...
Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
(Elsevier B.V., 2019)
Hybrid Approach Based on Machine Learning for Hand Shape and Key Point's Estimation
In human-computer interaction and virtual truth, hand pose estimation is essential. Public dataset experimental analysis Different biometric shows that a particular system creates low manual estimation errors and has a ...
Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets
(MDPI, 2021)
In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data ...
Enhancing anomaly detection through restricted Boltzmann machine features projection
(2021-02-01)
Technology has been nurturing a wide range of applications in the past decades, assisting humans in automating some of their daily tasks. Nevertheless, more advanced technology systems also expose some potential flaws, ...