Results 21 to 30 of about 5,507 (168)
A New Probabilistic Output Constrained Optimization Extreme Learning Machine
IEEE Access, 2020 In near decades machine learning approaches have received overwhelming attention from many researchers for solving problems that cannot be ironed out by traditional approaches.
Shen Yuong Wong +2 more
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An online deep extreme learning machine based on forgetting mechanism
Dianzi Jishu Yingyong, 2018 The development of deep learning promotes the development of deep online learning, and online learning tends to have strong effectiveness. Based on the principle of online extreme learning machine and the principle of autoencoder of deep extreme learning
Liu Buzhong
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Complexity, 2023 With fast learning speed and high accuracy, extreme learning machine (ELM) has achieved great success in pattern recognition and machine learning. Unfortunately, it will fail in the circumstance where plenty of labeled samples for training model are ...
Shaofei Zang +3 more
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Monitoring system on towercopter using ELM (Extreme Learning Machine) method
IOP Conference Series: Materials Science and Engineering, 2021 Abstract Towercopter has experienced rapid development in recent years. Towercopter is a tool with one brushless motor and one propeller that is installed between two support poles. Towercopter requires balance to be able to move during takeoff or houvering.
A D Santoso +6 more
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Local Coupled Extreme Learning Machine Based on Particle Swarm Optimization
Algorithms, 2018 We developed a new method of intelligent optimum strategy for a local coupled extreme learning machine (LC-ELM). In this method, both the weights and biases between the input layer and the hidden layer, as well as the addresses and radiuses in the local ...
Hongli Guo +5 more
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Complexity, 2022 Extreme Learning Machine (ELM) is widely used in various fields because of its fast training and high accuracy. However, it does not primarily work well for Domain Adaptation (DA) in which there are many annotated data from auxiliary domain and few even ...
Shaofei Zang +5 more
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Neuroscience Informatics, 2022 Extreme Learning Machine (ELM) is widely known to train feed forward network with high speed and good generalization performance. The only problem associated with ELM is required higher number of hidden neurons due to random selection.
Nilesh Rathod, Sunil Wankhade
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Extreme Learning Machine for Multi-Label Classification
Entropy, 2016 Extreme learning machine (ELM) techniques have received considerable attention in the computational intelligence and machine learning communities because of the significantly low computational time required for training new classifiers.
Xia Sun +5 more
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KLASIFIKASI KANKER SERVIKS MENGGUNAKAN METODE EXTREME LEARNING MACHINE (ELM)
KOMPUTEK, 2022 Kanker serviks merupakan salah satu penyakit kanker yang terjadi pada organ reproduksi wanita. Kanker serviks ini terjadi ketika sel-sel di leher rahim berubah menjadi sel kanker. Penyebab utama kanker serviks adalah Human Papilloma Virus (HPV) yang ditularkan melalui hubungan seksual.
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A Hierarchical Extreme Learning Machine Algorithm for Advertisement Click-Through Rate Prediction
IEEE Access, 2018 Click-through rate (CTR) prediction plays a predominant role in the online advertisements. CTR prediction is a problem of binary classification with imbalanced data.
Sen Zhang, Zheng Liu, Wendong Xiao
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