Training Subset Selection for Support Vector Regression by Cenru Liu, Jiahao Cen

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Efficient Support Vector Regression with Reduced Training Data by Ling Cen, Quang Hieu Vu, Dymitr Ruta

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Main vectors in the pedagogical training of residents and postgraduate students of a medical university by N. P. Vanchakova, E. A. Vatskel, V. A. Denishenko

“…Analysis of pedagogical training vectors for residents at the Pavlov First Saint Petersburg State Medical University showed that the training program includes following vectors: development of pedagogical competencies for work in “school for patients” and psychological and pedagogical support in the process of diagnosis, treatment, rehabilitation; ensuring the preservation of the patient dignity; facilitating patient-­centered care. …”
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Strategic Vector of Training Business Analysts in the Conditions of New National Priorities of Higher Education by N. A. Kazakova

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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

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One Pulse Vector Control Inverter Control Design for Fast Train Traction Motor Torque Control by Pramudita Pamungkas, Mochammad Rusli, Wijono

“…Current technology is increasingly developing, one of which is inverter control for high-speed train traction motor drives. Currently, the train driver is an AC electric motor. …”
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Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins by Johannes Reifenrath, Benjamin Gardner, Alexander Gigler, Friederike Liesche-Starnecker, Suzy Eldershaw, Nick Stone, Jürgen Schlegel

“…We then trained two support vector machines (SVMs) for the classification of cells based on their connexin 43 content and highlighted the impact of different spectral ranges (full spectrum vs. most significant Raman shifts) on specificity and sensitivity in glioblastoma target cell lines. …”
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The Current Situation and Estimation of Human Resources in the Field of Biology and Vector Control of Diseases in Iran by Mahboubeh Fatemi, Mohammad Reza Yaghoobi-Ershadi, Yavar Rassi, Mohammad Mehdi Sedaghat, Hassan Vatandoost, Mahboubeh bayat, Mehrdad Zarabi, Fatemeh Nikpoor, Amir Ahmad Akhavan

Subjects: “…biology and vector control of diseases…”
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Academic Staff during Shift towards Innovation Economy: Vectors of Change by Natalya S. Chernikova

Local Binary and Multiclass SVMs Trained on a Quantum Annealer by Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

“…In practice, the fast local kernel support vector machine (FaLK-SVM) method, designed for efficient local SVMs, has been combined with quantum-trained SVM models for binary and multiclass classification. …”
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Predicting the Event Types in the Human Brain: A Modeling Study Based on Embedding Vectors and Large-Scale Situation Type Datasets in Mandarin Chinese by Xiaorui Ma, Hongchao Liu

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Training of International Relations Specialists in Kazakhstan by R. S. Kurmanguzhin, R. T. Saurambaeva

Subjects: “…training of kazakh diplomats…”
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SVM action recognition model based on skeletal key point analysis with posture sensors to help sports training by Yixuan Cao, Tie Li

“…Subsequently, it utilizes a support vector machine to complete the recognition and classification of actions. …”
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SCALAR AND VECTOR IN COMPULATION by Valery F. Ochkov, Alexander V. Arkhiptcev

“…The article deals with two fundamental data types – scalar and vector (array), without the ability of working with them one cannot solve using computer school or university tasks in mathematics, physics, chemistry and other technical training courses. …”
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Improved Deep Support Vector Data Description Model Using Feature Patching for Industrial Anomaly Detection by Wei Huang, Yongjie Li, Zhaonan Xu, Xinwei Yao, Rongchun Wan

“…Leveraging high-level features extracted from ImageNet-trained networks and the robust capabilities of the Deep Support Vector Data Description (SVDD) model for anomaly detection, this paper proposes an improved Deep SVDD model, termed Feature-Patching SVDD (FPSVDD), designed for unsupervised anomaly detection in industrial applications. …”
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Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors by Yang Zhou, Haoyang Zeng, Wei Zhang, Yuguang Zhang

“…In the FVG module, word vectors are derived from the BERT pre-training model, encapsulating the semantic information of the text. …”
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Distribution of vectors and arboviruses, and healthcare workers’ knowledge of vector-borne diseases in Armenia by Lilit Babayan, Arsen Manucharyan, Lusine Paronyan, Haykuhi Vardanyan, Ruben Danielyan, Gayane Melik-Andreasyan, Jenna E Achenbach

“…Methodology: In 2021, we conducted fieldwork, combining morphological identification of vectors with polymerase chain reaction (PCR) analysis of pathogens to map the distribution of potential arbovirus vectors across Armenia. …”
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Methods of Machine-Aided Training in Small Business: Content and Management by S. A. Tishchenko, M. A. Shakhmuradian

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Assessing the Impact of Mixed Pixel Proportion Training Data on SVM-Based Remote Sensing Classification: A Simulated Study by Jianyu Gu, Russell G. Congalton

Subjects: “…training data…”
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Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting Exercis... by André B. Peres, Tiago A. F. Almeida, Danilo A. Massini, Anderson G. Macedo, Mário C. Espada, Ricardo A. M. Robalo, Rafael Oliveira, João P. Brito, Dalton M. Pessôa Filho

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