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Mili Turic, Stipe Celar, Srdjana Dragicevic and Linda Vickovic
Effort estimation is always quite a challenge, especially for agile software development projects. This paper describes the process of building a Bayesian network model for effort prediction in agile development. Very few studies have addressed the appli...
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Romil Mishra, Arvind Kumar Mishra and Bhanwar Singh Choudhary
Blasting is a cost-efficient and effective technique that utilizes explosive chemical energy to generate the necessary pressure for rock fragmentation in surface mines. However, a significant portion of this energy is dissipated in undesirable outcomes s...
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Yao Meng, Xianku Zhang, Guoqing Zhang, Xiufeng Zhang and Yating Duan
In order to establish a sparse and accurate ship motion prediction model, a novel Bayesian probability prediction model based on relevance vector machine (RVM) was proposed for nonparametric modeling. The sparsity, effectiveness, and generalization of RV...
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Guanghui Liu, Xiaohui Wang, Yuebo Meng, Yalin Zhang and Tingting Chen
Thermal discomfort body language has been shown to be a psychological representation of personnel?s particular thermal comfort. Individual thermal comfort differences are ignored in public building settings with random personnel flow. To solve this issue...
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Mandi Liu, Lei Zhang and Qi Yue
Since machine learning is applied in medicine, more and more medical data for prediction has been produced by monitoring patients, such as symptoms information of diabetes. This paper establishes a frame called the Diabetes Medication Bayes Matrix (DTBM)...
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