Showing 1 - 20 results of 1,767 for search 'training algorithms', query time: 0.09s Refine Results
  1. 1

    COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization by Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qi, Jack Xin, Xin Li, Penghang Yin

    Published 2025-01-01
    “…Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. …”
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    Article
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    ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

    Published 2017-01-01
    “…The algorithm of preparation and sampling for training of the multiclass qualifier of support vector machines (SVM) is provided. …”
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    Article
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    Load Estimation Algorithm Based on Extended Kalman Filter for Freight Train by DENG Hao

    Published 2024-10-01
    “…Researchers usually build complex train multi-particle motion models and design control algorithms, seeking to establish accurate control in the control system of freight trains. …”
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    The impact of algorithm awareness training on competent interaction with intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Andreas Hotho, Astrid Carolus, Carolin Wienrich

    Published 2025-05-01
    “…This work develops three online training modules to promote algorithm awareness, providing (1) basic knowledge of algorithms, (2) risks posed by algorithms in IVAs, and (3) scientific evidence on algorithm aversion. …”
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    Article
  5. 5

    Classification of Intraoral Photographs with Deep Learning Algorithms Trained According to Cephalometric Measurements by Sultan Büşra Ay Kartbak, Mehmet Birol Özel, Duygu Nur Cesur Kocakaya, Muhammet Çakmak, Enver Alper Sinanoğlu

    Published 2025-04-01
    “…This study aimed to evaluate deep learning algorithms trained utilizing actual cephalometric measurements for the classification of intraoral clinical photographs. …”
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    Article
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    African buffalo algorithm: Training the probabilistic neural network to solve classification problems by Mohammed Alweshah, Lobna Rababa, Mohammed Hashem Ryalat, Ammar Al Momani, Mohamed F. Ababneh

    Published 2022-05-01
    “…The efficiency of the ABO algorithm is assessed based on the PNN training results produced and its performance is compared with that of different types of optimization algorithm. …”
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    An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform by XIONG Minjun, LI Chen, ZHANG Huiyuan, PENG Liantie, SU Zhen

    Published 2021-01-01
    “…Aiming at the problems of low efficiency, poor accuracy and weak robustness of traditional train operation environment sensing algorithms, a real-time detection algorithm of train operation environment based on image instance segmentation is proposed. …”
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    Gutek: Intelligent Revision Algorithms by Lukasz Galka

    Published 2025-01-01
    Subjects: “…Customizable algorithms…”
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  10. 10

    Detection Algorithm for Air Duct Clamp on Trains Based on RSA-YOLOv10n by WANG Dairong, ZHAO Yuhong, QU Xiaozhang, LIU Yi

    Published 2025-04-01
    “…To address challenges in the detection of air duct clamps due to factors such as dim environments and small objects in train detection, such as insufficient detection accuracy and low detection efficiency, this paper proposes a RSA-YOLOv10n-based detection algorithm, developed utilizing a dataset of air duct clamps collected from trains. …”
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    Fine-tuning text-to-SQL models with reinforcement-learning training objectives by Xuan-Bang Nguyen, Xuan-Hieu Phan, Massimo Piccardi

    Published 2025-03-01
    “…As reinforcement learning reward, we propose a novel function which better aligns with the text-to-SQL evaluation metrics, applied in conjunction with two strong policy gradient algorithms, REINFORCE and RELAX. Our experimental results over the popular Spider benchmark show that the proposed approach has been able to outperform a conventionally-trained T5 Small baseline by 6.6 pp (percentage points) of exact-set-match accuracy and 4.6 pp of execution accuracy, and a T5 Base baseline by 2.0 pp and 1.9 pp, respectively. …”
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    Models and Algorithms of Conflict Detection and Scheduling Optimization for High-Speed Train Operations Based on MPC by Zhihui Wang, Yonghua Zhou, Deng Liu

    Published 2018-01-01
    “…In order to improve the capability, this paper mainly explores the models and algorithms of conflict detection and scheduling optimization of high-speed train operations. …”
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    Article
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    A Real-time Speed Profile Planning Algorithm for Freight Trains Based on Neural Network by ZHU Yuqing, BAI Baoxue, CHEN Honghui, CHEN Nankuang, WANG Qingyuan

    Published 2019-01-01
    “…In order to reduce driver’s operation difficulty and improve transportation efficiency, this paper proposed a real-time speed profile planning algorithm based on neural network to guide the freight train driver’s operation. …”
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    A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

    Published 2024-08-01
    “…Results from simulations conducted in environments set up using Matlab showed that in the task training of train operation on long steep downhill with randomly generated entry speeds, cumulative rewards gradually converged over training runs, which verified the convergence and generalization of the proposed algorithm. …”
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    Training hybrid neural networks with multimode optical nonlinearities using digital twins by Oguz Ilker, Suter Louis J.E., Hsieh Jih-Liang, Yildirim Mustafa, Dinc Niyazi Ulas, Moser Christophe, Psaltis Demetri

    Published 2025-04-01
    “…The training algorithm updates the neural simulator and backpropagates the error signal over this proxy to optimize layers preceding the optical one. …”
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