https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf
Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases Xueming Luo,aSiliang Tong,aZheng Fang,bZhe Quc
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https://www.fox.temple.edu/directory/marco-shaojun-qin-tuk40739
Marketing Science, 41 (6), 1053-1056. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mksc.2022.1407. Luo, X., Qin, M., Fang, Z., & Qu, Z. (2021). Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions. Journal of Marketing, 85 (2), 14-32. doi: 10.1177/0022242920956676.
https://www.fox.temple.edu/faculty-research/institutes-centers/global-institute-artificial-intelligence-business-analytics/conferences/2023-conference-artificial-intelligence-machine-learning-business-analytics
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https://cis.temple.edu/~yu/research/thesis00.pdf
参参参参数数数数调调调调整(整(整(整(Model Parameter Adaptation)[54-63,36,79,82,85],是把原有SI系统的HMM 参数作为先验知识(a Prior information), 遵照Bayes估计准则求出达到最大后验概率(Maximum a Posterior,MAP)时系统采用的最佳参数。
https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html
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https://sites.temple.edu/pdames/files/2019/03/ChungEtAlTRO2018.pdf
In particular, mixed-integer linear programming (MILP) has been successfully derived for optimal collision-free motions and applied to mobile robots, spacecraft, and UAVs [85], [86], [119].
https://education.temple.edu/directory/matt-tincani-tincani
He has published over 85 scholarly publications, including the books Classroom Management and Positive Behavior Support (2nd edition; Routledge) and Adults with Autism Spectrum Disorders, Evidence-Based and Promising Practices (Guildford Press).
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/Lecture6.pptx
Machine learning: how to acquire a model on the basis of data / experience
https://sites.temple.edu/pcrs/2023/11/12/how-online-communication-platforms-facilitated-human-trafficking-and-rethinking-the-websites-as-hosts-theory/
Usually, the purpose of an algorithm is too filter content to the user’s liking and suggest videos or posts that the user is likely to engage in. [85] However, an analysis of the social media site “YouTube” found that 64 percent of users came across videos on the platform that seemed false or untrue. [86]