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International Journal of Business and Systems Research最新文献

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Islamic financial institutions performance pre- and post-global financial crisis 2007/2008: empirical insights from Gulf Cooperation Council 2007/2008年全球金融危机前后伊斯兰金融机构的表现:来自海湾合作委员会的实证见解
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/IJBSR.2022.10036153
M. Alnahhal, Noushin Bagheri, M. Tabash
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引用次数: 0
Comparative study of methods to identify sensitive parameters for improving performance of predictive models 提高预测模型性能的敏感参数识别方法的比较研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.134481
Mohan Sangli, Rajeshwar S. Kadadevaramath, Srikanth Madaka
Machine learning models map inputs to predictions. Supervised machine learning models learn from a dataset containing several samples or experiments by assigning a weightage to each of the input parameters, commonly referred as features, so as to map to the corresponding target outcome. Different algorithms are used in the learning process, each following a set of rules to achieve the stated objective of mapping features to the corresponding value of target. In this development process, algorithms assign weights to each feature and refine them iteratively to reduce the error between the predicted outcomes with the actual value in the dataset. It is observed that each type of algorithm is based on certain themes such as linear, tree-based, kernel, etc. Each adoption of each of these themed algorithms assigns different weights to features to arrive at the target outcome while reducing the error with the actual value. Iterations alter the weights of parameters until fully tuned and hence there is a need to get reliable weights early in the model development process.
机器学习模型将输入映射到预测。监督式机器学习模型通过为每个输入参数(通常称为特征)分配权重,从包含多个样本或实验的数据集中学习,从而映射到相应的目标结果。在学习过程中使用了不同的算法,每种算法都遵循一套规则,以实现将特征映射到目标的相应值的既定目标。在这个开发过程中,算法为每个特征分配权重并迭代地改进它们,以减少预测结果与数据集中实际值之间的误差。可以观察到,每种类型的算法都是基于一定的主题,如线性的、基于树的、内核的等。每种主题算法的每次采用都为特征分配不同的权重,以达到目标结果,同时减少与实际值的误差。迭代会改变参数的权重,直到完全调优为止,因此需要在模型开发过程的早期获得可靠的权重。
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引用次数: 0
Workplace: an empirical study on spiritual leadership in Pakistani higher education 职场:巴基斯坦高等教育精神领导力的实证研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.131721
Ansar Abbas, D. Ekowati, Fendy Suhariadi, Aisha Anwar
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引用次数: 3
Comparative study of methods to identify sensitive parameters for improving performance of predictive models 提高预测模型性能的敏感参数识别方法的比较研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.10054547
Srikanth Madaka, R. S. Kadadevaramath, Mohan Sangli
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引用次数: 0
E-commerce assistant application incorporating machine learning image classification 结合机器学习图像分类的电子商务助手应用
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/IJBSR.2022.10036200
Victor I. Chang, Robert Marshall, Q. Xu, Anastasija Nikiforova
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引用次数: 1
Computerised relationship layout planning for redesign of supermarket layouts 电脑化关系布局规划,用于重新设计超市布局
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.133211
M. Shilpa, L. Harshith, Shobhini Sekar, R. S. Kadadevaramath
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引用次数: 0
Internationalisation business strategy via e-commerce 通过电子商务实现国际化经营战略
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/IJBSR.2022.10038644
Á. Dias, Rui Gonçalves, L. Pereira, R. Costa, Yuliya Tovstolyak
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引用次数: 0
Websites continuance usage intention: a study from the airline sector 网站持续使用意向:来自航空业的研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.133102
Humera Khan, P.D.D. Dominic, Sadaf Hina
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引用次数: 0
Ethical influence of social media by academic communities 学术界对社交媒体的伦理影响
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.133212
M. Vijayalakshmi, C. Somashekar, Preeti S. Desai, G. Badri Narayanan
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引用次数: 0
An analysis of firms' environmental performance: an empirical study of Carbonex firms in India 企业环境绩效分析:对印度Carbonex公司的实证研究
Q4 Business, Management and Accounting Pub Date : 2023-01-01 DOI: 10.1504/ijbsr.2023.134463
Jeevesh Sharma, Suhasini Verma
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引用次数: 0
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International Journal of Business and Systems Research
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