Výsledky vyhledávání - "hyperparameter fine tuning"

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Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification

Autor: Roder, Mateus, Passos, Leandro Aparecido, Papa, João Paulo, Rossi, André Luis Debiaso

Quality classification of wood boards is an essential task in the sawmill industry, which is still usually performed by human operators in small to median companies in developing countries. Machine learning algorithms have been successfully employed

Externí odkaz: http://arxiv.org/abs/2310.13490

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Akademický článek

Adaptive Hyperparameter Fine-Tuning for Boosting the Robustness and Quality of the Particle Swarm Optimization Algorithm for Non-Linear RBF Neural Network Modelling and Its Applications.

Autor: Ahmad, Zohaib¹ (AUTHOR), Li, Jianqiang^1,2 (AUTHOR), Mahmood, Tariq³ (AUTHOR) tmsherazi@ue.edu.pk

Publikováno v: Mathematics (2227-7390). Jan2023, Vol. 11 Issue 1, p242. 16p.

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Adaptive Hyperparameter Fine-Tuning for Boosting the Robustness and Quality of the Particle Swarm Optimization Algorithm for Non-Linear RBF Neural Network Modelling and Its Applications

Autor: Zohaib Ahmad, Jianqiang Li, Tariq Mahmood

Publikováno v: Mathematics, Vol 11, Iss 1, p 242 (2023)

A method is proposed for recognizing and predicting non-linear systems employing a radial basis function neural network (RBFNN) and robust hybrid particle swarm optimization (HPSO) approach. A PSO is coupled with a spiral-shaped mechanism (HPSO-SSM)

Externí odkaz: https://doaj.org/article/26e656ea361c496db095954830ad251b

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BERT 기반 자연어처리 모델의 미세 조정을 통한 한국어 리뷰 감성 분석: 입력 시퀀스 길이 최적화.

Autor: 황 성 아¹ sungahwang@yonsei.ac.kr, 박 세 연² seyeon@yonsei.ac.kr, 장 백 철³ bjang@yonsei.ac.kr

Publikováno v: Journal of Internet Computing & Services. Aug2024, Vol. 25 Issue 4, p47-56. 10p.

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Machine Learning Hyperparameter Fine Tuning Service on Dynamic Cloud Resource Allocation System - taking Heart Sounds as an Example

Autor: Chia-Chuan Chuang, Hsin-Tien Cheng, Yu-Hsiang Peng, Zhou-Jin Wu, Chih-Chi Chung, Yi-Lun Pan, Ken-Yu Lin, Hui-Shan Chen, Ting-Chia Chang, Chia-Wei Chou

Publikováno v: Proceedings of the International Symposium on Big Data and Artificial Intelligence.

The hyperparameters tuning of machine learning has always been a difficult and time-consuming task in deep learning area. In many practical applications, the hyperparameter tuning directly affects the accuracy. Therefore, the tuning optimization of h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ec6e492d16badfcf134bf25f27d5908
https://doi.org/10.1145/3305275.3305280

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Akademický článek

Drosophila Eye Gene Regulatory Network Inference Using BioGRNsemble: An Ensemble-of-Ensembles Machine Learning Approach.

Autor: Mohammed, Abdul Jawad¹ (AUTHOR) jawad.isg@gmail.com, Khalifa, Amal¹ (AUTHOR) khalifaa@pfw.edu

Publikováno v: BioMedInformatics. Dec2024, Vol. 4 Issue 4, p2186-2200. 15p.

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Tourism Demand Prediction after COVID-19 with Deep Learning Hybrid CNN–LSTM—Case Study of Vietnam and Provinces

Autor: Thao Nguyen-Da, Yi-Min Li, Chi-Lu Peng, Ming-Yuan Cho, Phuong Nguyen-Thanh

Publikováno v: Sustainability; Volume 15; Issue 9; Pages: 7179

The tourism industry experienced a positive increase after COVID-19 and is the largest segment in the foreign exchange contribution in developing countries, especially in Vietnam, where China has begun reopening its borders and lifted the pandemic li

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f75ece4ea930f43ac44445b82fc14457

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