Results 1 to 10 of about 211,846 (266)
Basic Hyperparameters Tuning Methods for Classification Algorithms [PDF]
Informatică economică, 2021 Considering the dynamics of the economic environment and the amount of data generated every second, the decision-making process is changing and becomes data driven, highly influencing the business strategies setup in order to keep the competitive ...
Claudia ANTAL-VAIDA
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Tuning the Hyperparameters of the 1D CNN Model to Improve the Performance of Human Activity Recognition [PDF]
Engineering and Technology Journal, 2022 The human activity recognition (HAR) field has recently become one of the trendiest research topics due to ready-made sensors such as accelerometers and gyroscopes equipped with smartphones and smartwatches as an embedded devices, decreasing the cost and
Rana Lateef, Ayad Abbas
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Informatika, 2023 Objectives. The problem of IT diagnostics of signs of Parkinson's disease is solved by analyzing changes in the voice and slowing down the movement of patients. The urgency of the task is associated with the need for early diagnosis of the disease.
U. A. Vishniakou, Xia Yiwei
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IEEE Access, 2022 Adversarial training is exploited to develop a robust Deep Neural Network (DNN) model against the malicious altered data. These attacks may have catastrophic effects on DNN models but are indistinguishable for a human being.
Farzad Nikfam +3 more
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Vibration, 2021 This paper demonstrates the differences between popular transformation-based input representations for vibration-based machine fault diagnosis. This paper highlights the dependency of different input representations on hyperparameter selection with the ...
Jacob Hendriks, Patrick Dumond
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Computation, 2023 Cryptocurrencies are rapidly growing and are increasingly accepted by major commercial vendors. However, along with their rising popularity, they have also become the go-to currency for illicit activities driven by the anonymity they provide ...
Tiffany Tien Nee Pragasam +3 more
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Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
Frontiers in Artificial Intelligence, 2023 Ensemble learning aims to improve prediction performance by combining several models or forecasts. However, how much and which ensemble learning techniques are useful in deep learning-based pipelines for pancreas computed tomography (CT) image ...
Wilson Bakasa, Serestina Viriri
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RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm
Mathematics, 2021 This work proposes a new algorithm for optimizing hyper-parameters of a machine learning algorithm, RHOASo, based on conditional optimization of concave asymptotic functions.
Ángel Luis Muñoz Castañeda +2 more
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Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks
Open Computer Science, 2022 Word2Vec is a prominent model for natural language processing tasks. Similar inspiration is found in distributed embeddings (word-vectors) in recent state-of-the-art deep neural networks.
Adewumi Tosin +2 more
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Harmonic loss evaluation of low voltage overhead lines based on CSO-SVR model [PDF]
电力工程技术, 2022 In view of the low calculation accuracy of physical analytical model of harmonic loss,a support vector regression (SVR) model based on crisscross optimization (CSO) algorithm is proposed to evaluate the harmonic loss of overhead lines.
MENG Anbo +5 more
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