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Publication search results
found 123 matches
- 2024
- Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy:
A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models. J. Comput. Phys. 498: 112599 (2024) - Amir Mehrabian, Maryam Sabbaghian, Halim Yanikomeroglu:
RL-Based Hyperparameter Selection for Spectrum Sensing With CNNs. CoRR abs/2401.16530 (2024) - 2023
- Hanhan Yan, Qiang Li, Ming-Lang Tseng, Xin Guan:
Joint-optimized feature selection and classifier hyperparameters by salp swarm algorithm in piano score difficulty measurement problem. Appl. Soft Comput. 144: 110464 (2023) - Saleh Ateeq Almutairi:
An Optimized Feature Selection and Hyperparameter Tuning Framework for Automated Heart Disease Diagnosis. Comput. Syst. Sci. Eng. 47(2): 2599-2624 (2023) - Alberto Corredera, Carlos Ruiz:
Prescriptive selection of machine learning hyperparameters with applications in power markets: Retailer's optimal trading. Eur. J. Oper. Res. 306(1): 370-388 (2023) - Nedim Muzoglu, Ahmet Mesrur Halefoglu, Muhammed Onur Avci, Melike Kaya Karaaslan, Bekir Siddik Binboga Yarman:
Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods. Expert Syst. J. Knowl. Eng. 40(1) (2023) - Yeshwant Singh, Anupam Biswas:
Lightweight convolutional neural network architecture design for music genre classification using evolutionary stochastic hyperparameter selection. Expert Syst. J. Knowl. Eng. 40(6) (2023) - Mohamed Ali Setitra, Mingyu Fan, Zine El Abidine Bensalem:
An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization. Trans. Emerg. Telecommun. Technol. 34(9) (2023) - César H. Valencia, Marley M. B. R. Vellasco, Karla Figueiredo:
Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting. Neurocomputing 545: 126317 (2023) - Huiyong Wu, Tongtong Yang, Harris Wu, Hongkun Li, Ziwei Zhou:
Air quality prediction based on Long Short-Term Memory Model with advanced feature selection and hyperparameter optimization. J. Intell. Fuzzy Syst. 45(4): 5971-5985 (2023) - Alessandro Sebastianelli, Maria Pia del Rosso, Silvia Liberata Ullo, Paolo Gamba:
On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. Math. Program. 198(2): 1583-1616 (2023) - You-Gan Wang, Jinran Wu, Zhi-Hua Hu, Geoffrey J. McLachlan:
A new algorithm for support vector regression with automatic selection of hyperparameters. Pattern Recognit. 133: 108989 (2023) - Thomas Rusch, Patrick Mair, Kurt Hornik:
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling. Stat. Comput. 33(1): 28 (2023) - Charles-Gérard Lucas, Barbara Pascal, Nelly Pustelnik, Patrice Abry:
Hyperparameter selection for Discrete Mumford-Shah. Signal Image Video Process. 17(5): 1897-1904 (2023) - Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. BRACIS (2) 2023: 323-337 - Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane:
A Review of Feature Selection and HyperparameterOptimization Techniques for Breast Cancer Detection on thermograms Images. CloudTech 2023: 1-8 - Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi:
Dynamic Fidelity Selection for Hyperparameter Optimization. GECCO Companion 2023: 2304-2307 - Darren Ramsook, Anil C. Kokaram:
Learnt Deep Hyperparameter Selection in Adversarial Training for Compressed Video Enhancement with a Perceptual Critic. ICIP 2023: 2420-2424 - Anuvab Sen, Arul Rhik Mazumder, Dibyarup Dutta, Udayon Sen, Pathikrit Syam, Sandipan Dhar:
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting. IJCCI 2023: 238-245 - Mark C. McKenzie, Mark D. McDonnell:
Hyperparameter Selection in Reinforcement Learning Using the "Design of Experiments" Method. INNS DLIA@IJCNN 2023: 11-24 - Tom Bolton, Julian M. Bass, Tarek Gaber, Taha Mansouri:
Comparing Object Recognition Models and Studying Hyperparameter Selection for the Detection of Bolts. NLDB 2023: 186-200 - Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble:
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. SDM 2023: 802-810 - Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble:
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. CoRR abs/2301.05131 (2023) - Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy:
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems. CoRR abs/2301.12019 (2023) - Darren Ramsook, Anil C. Kokaram:
Learnt Deep Hyperparameter selection in Adversarial Training for compressed video enhancement with perceptual critic. CoRR abs/2302.14516 (2023) - Yin-Ting Liao, Hengrui Luo, Anna Ma:
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization. CoRR abs/2306.00357 (2023) - Shijin Gong, Xinyu Zhang:
Towards Optimal Neural Networks: the Role of Sample Splitting in Hyperparameter Selection. CoRR abs/2307.07726 (2023) - Anuvab Sen, Arul Rhik Mazumder, Dibyarup Dutta, Udayon Sen, Pathikrit Syam, Sandipan Dhar:
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting. CoRR abs/2309.02600 (2023) - Ahmad Esmaeili, Julia Taylor Rayz, Eric T. Matson:
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach. CoRR abs/2309.06604 (2023)
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