Academic literature on the topic 'Portfolio-based learning'

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Journal articles on the topic "Portfolio-based learning"

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Pitts, John. "Understand portfolio-based learning." Education for Primary Care 18, no. 3 (2007): 404–6. http://dx.doi.org/10.1080/14739879.2007.11493566.

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Aliyudin, Dedin, Kusrin Kusrin, and Yousef Bani Ahmad. "E-PORTFOLIO BASED LEARNING." JUDIKA (JURNAL PENDIDIKAN UNSIKA) 9, no. 1 (2021): 49–61. http://dx.doi.org/10.35706/judika.v9i1.3820.

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The present study aimed to investigate the response of e-portfolio on EFL students’ speaking classroom. This study conducted to examines whether e-portfolio has good effect on improving student speaking skill. This study conducted at one of the junior high school in Bandung in the academic year 2019/2020. Seven students participated in this study. The type of this study was qualitative research and its design was a case study. The data obtained through observation, interview, and documentation. The findings of the research showed that e-portfolio has a positive response from the students. It w
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Pan, Wei, Jide Li, and Xiaoqiang Li. "Portfolio Learning Based on Deep Learning." Future Internet 12, no. 11 (2020): 202. http://dx.doi.org/10.3390/fi12110202.

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Traditional portfolio theory divides stocks into different categories using indicators such as industry, market value, and liquidity, and then selects representative stocks according to them. In this paper, we propose a novel portfolio learning approach based on deep learning and apply it to China’s stock market. Specifically, this method is based on the similarity of deep features extracted from candlestick charts. First, we obtained whole stock information from Tushare, a professional financial data interface. These raw time series data are then plotted into candlestick charts to make an ima
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Han, Yingjie. "Machine Learning Based Portfolio Analysis." Highlights in Business, Economics and Management 44 (November 25, 2024): 135–47. http://dx.doi.org/10.54097/wc6epk11.

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This paper investigates the effectiveness of machine learning methods in predicting stock returns in China. In this paper, we use 16 liquidity, momentum, market risk and macro fundamentals indicators, as well as 112 interaction terms between indicators and macro variables with monthly stock excess returns for the lagged period from January 2000 to November 2015 as the sample set, train elasticity networks, gradient boosting, random forests, neural networks, and simple linear regression models, and based on the data of December 2015, predict the January 2016 returns, form portfolios based on th
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Menouer, Tarek, and Souheib Baarir. "Parallel Learning Portfolio-based solvers." Procedia Computer Science 108 (2017): 335–44. http://dx.doi.org/10.1016/j.procs.2017.05.140.

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Joshi, Mohit Kumar, Piyush Gupta, and Tejinder Singh. "Portfolio-based learning and assessment." Indian Pediatrics 52, no. 3 (2015): 231–35. http://dx.doi.org/10.1007/s13312-015-0613-2.

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Romero, Lucila, Milagros Gutierrez, and Laura Caliusco. "Learning path based-portfolio for personalized learning." Journal on Advances in Theoretical and Applied Informatics 3, no. 1 (2017): 62. http://dx.doi.org/10.26729/jadi.v3i1.2447.

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Nowadays, lot of human activities have been affected by the use of technology needed to change in order to adapted. Particularly, in education domain the changes that occurred were not enough to break the traditional schemas of teaching. In this way, more and more people claim for real remodeling. Mainly, one of the most important subject is the necessity to adapt the teaching process to the particular characteristics of students, in a king of personalized learning. This work presents a conceptual framework, which proposes learning path based-portfolio as a way to personalize education. This f
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Song, Changting. "Portfolio Optimization Based on Machine Learning." Advances in Economics, Management and Political Sciences 25, no. 1 (2023): 203–12. http://dx.doi.org/10.54254/2754-1169/25/20230500.

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Machine learning is utilized widely in portfolio prediction and optimization, which provides a more reliable results with mean variance optimization. Besides, socially responsible investment portfolio considering social, environment and governance becomes an emerging theme in academic and industrial circles. Basing on both of that, this study aims to use machine learning models to predict return of ESG stocks in American stocks market and mean variance optimization for creating portfolio. The consequence demonstrates SVR has less residual in prediction and maximum sharpe or minimum variance po
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Toms, B. "Portfolio Based Learning in General Practice." Quality and Safety in Health Care 4, no. 1 (1995): 66. http://dx.doi.org/10.1136/qshc.4.1.66.

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Leight, Joanne, Myung-Ah Lee, and Molly K. Hare. "A Web-based Learning Portfolio System." Journal of Physical Education, Recreation & Dance 78, no. 9 (2007): 45–48. http://dx.doi.org/10.1080/07303084.2007.10598097.

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Dissertations / Theses on the topic "Portfolio-based learning"

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Avery, Barry. "e-Portfolio assessment in networked learning based communities." Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/81542/.

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There is a substantial body of research suggesting the advantages of using e- Portfolios in higher education assessment, where work is collated by individuals to record their learning. The use of learning communities in this context is an under-researched area, despite the number of e-Portfolios that implement a social component. This work develops an alternative e-Portfolio approach by using a networked learning based pedagogy, which brings richer descriptions of both artifacts and the structure of the underlying community. Action research and free/open source development principles have been
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Tran, Anh-Tuan. "Ensemble learning-based approach for the global minimum variance portfolio." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLP010.

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Ensemble Learning a une idée simple selon laquelle la combinaison de plusieurs algorithmes d'apprentissage a tendance à donner un meilleur résultat que n'importe quel algorithme d'apprentissage unique. Empiriquement, la méthode d'ensemble est meilleure si ses modèles de base sont diversifiés même s'il s'agit d'algorithmes aléatoires non intuitifs tels que des arbres de décision aléatoires. En raison de ses avantages, Ensemble Learning est utilisé dans diverses applications telles que les problèmes de détection de fraude. Plus en détail, les avantages d'Ensemble Learning tiennent à deux points
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Westerlind, Simon. "Anomaly Detection for Portfolio Risk Management : An evaluation of econometric and machine learning based approaches to detecting anomalous behaviour in portfolio risk measures." Thesis, KTH, Nationalekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232131.

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Financial institutions manage numerous portfolios whose risk must be managed continuously, and the large amounts of data that has to be processed renders this a considerable effort. As such, a system that autonomously detects anomalies in the risk measures of financial portfolios, would be of great value. To this end, the two econometric models ARMA-GARCH and EWMA, and the two machine learning based algorithms LSTM and HTM, were evaluated for the task of performing unsupervised anomaly detection on the streaming time series of portfolio risk measures. Three datasets of returns and Value-at-Ris
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Wright, Julie, and j. wright@rmit edu au. "Implementation of project based learning in a training package context." RMIT University. Education, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080729.165211.

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Training Packages form the basis upon which practitioners in the Vocational Education and Training (VET) sector in Australia develop their pedagogical processes. As workplaces adapt their practices to compete globally, demand for skilled and knowledgeable workers places pressure on institutional training providers such as TAFE to develop training programs that support the acquisition of higher order thinking skills in graduates. Using a competence based framework as a backdrop, the research centres on the notion of the place of Project Based Learning in a Training Package context. The research
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Schneider, Georg [Verfasser], and Hermann G. [Akademischer Betreuer] Ebner. "Portfolio construction in university teacher education : Design, implementation, and evaluation of a portfolio-based instructional system for deep learning / Georg Schneider ; Betreuer: Hermann G. Ebner." Mannheim : Universitätsbibliothek Mannheim, 2020. http://d-nb.info/1206878207/34.

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Smith, Sara. "'Doing the portfolio' : pre-registration training for biomedical scientists and developing the capable practitioner." Thesis, University of Wolverhampton, 2018. http://hdl.handle.net/2436/621053.

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Integration of work-placements into undergraduate degrees is now established on awards linked to professional registration in healthcare. Pre-registration training forms the basis for development of capability and entry onto a professional register. This enquiry explores how key stakeholders on a programme leading to registration as a Biomedical Scientist (BMS) position themselves in their role and the subsequent impact of this upon the development of the capable BMS. It draws upon current knowledge of work-based pedagogy and utilises a constructivist grounded theory (CGT) approach to explore
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Felix, Allison. "Design Based Science and Higher Order Thinking." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71746.

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Technological/engineering design based learning (T/E DBL) provides a context in which students may utilize content knowledge and skills to develop prototype solutions to real-world problems. In science education, design based science (DBS) utilizes technological/engineering design based approaches in science education as a means for enhancing the purpose of and relevance for scientific inquiry by contextualizing it within the goal of developing a solution to a real-world problem. This study addressed the need to investigate the ways in which students utilize higher order thinking skills, demon
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Mongalo, Lucky. "Assessment practices of adult educators in Mamelodi Adult Learning Centers." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2105_1271020736.

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<p>This study explores the assessment practices of adult educators in Mamelodi Adult Learning Centers using a qualitative methodology. The study recognizes that assessment is an important activity within the education and training enterprise since it can be used to improve the quality of teaching as well as improve and support the learning process. The study sets out to investigate how Mamelodi adult educators conceptualize assessment<br>the skills levels of these educators<br>the nature of support and training these educators received to enhance their assessment practices<br>the different ass
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McNally, John D. "Systematic Development and Validation of a Course of Instruction in Prior Learning Assessment." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3543.

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Many post-secondary schools across the country offer adult working students an opportunity to obtain at least partial credit for work and life experiences in their curriculum through portfolios. The primary goal of this project was to design, develop and evaluate a portfolio course for adult students at a small independent university. Design emphasized adult learning theory and incorporated instructional design best practices throughout. Also significant to the design was the implementation of the Quality Matters ™ Rubric. The project focus was to intertwine the six assumptions of adult learni
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Eppink, Joseph A. "The effect of web-based portfolio assessment strategies on the attitudes and self-perceived growth in music learning of non-music elementary general classroom educators in a basics of music course." Virtual Press, 2002. http://liblink.bsu.edu/uhtbin/catkey/1239210.

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This study examined the effect of web-based portfolio assessment strategies on the attitudes and self-perceived growth in music learning of non-music elementary general classroom educators in a basics of music course. The study is based upon research and literature in regards to constructivism, alternative assessment strategies including portfolio assessment, and computer technology.The study employed both quantitative and qualitative research. The study was quasi-experimental and utilized a pretest and posttest survey and a final discussion interview between the student and the researcher. St
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Books on the topic "Portfolio-based learning"

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Williams, Doris Terry. The place-based learning portfolio. Rural School and Community Trust, 2003.

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Royal College of General Practitioners. Working Group on Higher Professional Education., ed. Portfolio-based learning in general practice: Report of a Working Group on Higher Professional Education, Royal College of General Practitioners. Royal College of General Practitioners, 1993.

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(Editor), Roger Pietroni, ed. Portfolio-based Learning in General Practice. Royal College of General Practitioners, 1993.

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Dearman, Samuel P., Adam B. Joiner, Damien Longson, and Samantha Abbott. Passing the ARCP: Successful Portfolio-Based Learning. Royal College of Psychiatrists, 2018.

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Passing the ARCP: Successful Portfolio-Based Learning. Royal College of Psychiatrists, 2014.

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Charles, F. Catherine. Learning and teaching, reading and writing: The recursive practices of the portfolio-based literature classroom. 2000.

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Lund, Jacalyn Lea, and Mary Fortman Kirk. Performance-Based Assessment for Middle and High School Physical Education. 3rd ed. Human Kinetics, 2020. http://dx.doi.org/10.5040/9781718222731.

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Performance-Based Assessment for Middle and High School Physical Education is a cutting-edge book that teachers trust for assessing middle school and high school physical education students. Also a highly popular undergraduate text for courses that focus on performance-based assessment, this new third edition features significant additions, enhancements, and updates: • New chapters on effective management and instruction delivery, which make it appropriate for PETE instructors using the book for secondary methods courses • A new chapter on assessments with various instructional models, includi
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Noble, Simon, and Nicola Pease. The United Kingdom general practitioner and palliative care model. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0058.

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Within the United Kingdom, the general practitioner (GP) will manage the care of the majority of patients with life-limiting and terminal disease. The need for effective communication is recognized in the general practice curriculum and college examinations. The opportunity to review and critique one’s own communication skills allows considerable opportunity for self-directed learning and reflection. The development of a reflective portfolio of learning has been developed as a user-friendly and cost-effective way for the general practitioner to commit to lifelong learning in the context of com
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Pokrivčáková, Silvia. Anglophone Study Trips with Multimedia Projects. Faculty of Education, Trnava University in Trnava, 2024. http://dx.doi.org/10.31262/978-80-568-0670-8/2024.

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The present textbook deals with the issue of foreign study trips. It aims to introduce the research­‑based framework of study trips as a specific educational form of foreign language education to students of teacher­‑training and philology study programmes. Within higher education, systemic research on study trips is relatively new. It is related to the existing situation in its theoretical background, which is characterised by a fragmentation of information and a lack of concrete teaching resources. While learning about the concept of study trips and their organization, students depended almo
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Book chapters on the topic "Portfolio-based learning"

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Bogg, Daisy, and Maggie Challis. "What is portfolio-based learning?" In Evidencing CPD, 2nd ed. Routledge, 2025. https://doi.org/10.4324/9781041055587-5.

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Li, Jinglong. "Stock Portfolio Optimization Based on Reinforcement Learning." In Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023). Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-368-9_16.

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Chen, Yanju, Yan-Kui Liu, and Junfen Chen. "Fuzzy Portfolio Selection Problems Based on Credibility Theory." In Advances in Machine Learning and Cybernetics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11739685_40.

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Zhang, Xinyu, Zhangyang Xia, and Yanlei Zhu. "A Reinforcement Learning-Based Portfolio Return Prediction Model." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9376-3_40.

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Lam, Ricky. "Issues in Portfolio-Based Research and Future Directions." In Portfolio Assessment for the Teaching and Learning of Writing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1174-1_8.

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Sun, Haoyu, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, and Yuqi Liang. "Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70378-2_11.

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Su, Xiao, Yalan Zhou, Shanshan He, and Xiangxia Li. "Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization." In Knowledge Science, Engineering and Management. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40292-0_20.

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Kumar, Akhilesh, Gayas Ahmad, and Mohammad Shahid. "Portfolio Selection Strategy: A Teaching–Learning-Based Optimization (TLBO) Approach." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1435-7_46.

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Zhang, Lei, Yu Yin, and Yi You. "Portfolio Models Based on Fundamental Analysis Using Learning to Rank." In Proceedings of the Fifteenth International Conference on Management Science and Engineering Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79206-0_27.

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Chiu, Kai Chun, and Lei Xu. "Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management." In Artificial Neural Networks — ICANN 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46084-5_165.

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Conference papers on the topic "Portfolio-based learning"

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Lina, Jia, Shahab S. Banda, Hao-Ting Paib, and Bharat S. Rawal. "EUDRL: Explainable Uncertainty-Based Deep Reinforcement Learning for Portfolio Management." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723849.

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Li, Zhenglong, and Vincent Tam. "Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650941.

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Feng, Jingyuan, Qiyue Wu, and Fan Lin. "FD-RLPO: Feature Domain-based Reinforcement Learning Framework for Portfolio Optimization." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033372.

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Ram, Kottooru Saaketh Raja, Selvaganapathy M, Nandhini I, Tamilselvi M, Kalaivani M, and Natarajan B. "Enhanced Investment Decision Making with a Reinforcement Learning-Based Multi-Agent Portfolio Management System." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691210.

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Das, Joy Dip, Avanthi M. Gedara, Sulalitha Bowala, Ruppa K. Thulasiram, and Aerambamoorthy Thavaneswaran. "Non-Linear Data Representation with Machine Learning for Dynamic Covariance Based Financial Portfolio Optimization." In 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CiFer). IEEE, 2025. https://doi.org/10.1109/cifer64978.2025.10975737.

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AlMuharraqi, Maitham, and Qaiser Munir. "Portfolio Optimization of Sharia-Based Stocks Using Deep Learning: A Case of Bahrain Bourse." In 2024 International Conference on Sustainable Islamic Business and Finance (SIBF). IEEE, 2024. https://doi.org/10.1109/sibf63788.2024.10883832.

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Kuo, Shu-Yu, Yu-Chi Jiang, Ching-Hsuan Wu, Cheng-Yen Hua, Yun-Ting Lai, and Yao-Hsin Chou. "An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10611873.

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Yang, Min, Yi Hu, and Jin Wang. "Risk-Averse Trader: A Deep Reinforcement Learning-Based Portfolio Optimization Method for Risk-Averse Investors." In 2024 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI). IEEE, 2024. https://doi.org/10.1109/iiki65561.2024.00036.

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Movassaghpour, Shahin Sharbaf, Masoud Kargar, Ali Bayani, Alireza Assadzadeh, and Ali Khakzadi. "A Consulting System for Portfolio Assets Allocation by Selecting the Best Agent in the Short Term Based on Cumulative Returns with Deep Reinforcement Learning." In 2024 11th International Symposium on Telecommunications (IST). IEEE, 2024. https://doi.org/10.1109/ist64061.2024.10843551.

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Wei Li, Ji-Chun Gan, Yan-Guo Han, Hui-Zi An, and Lei Zhou. "Portfolio optimization model based on synthesizing effect." In 2013 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2013. http://dx.doi.org/10.1109/icmlc.2013.6890797.

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Reports on the topic "Portfolio-based learning"

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de Luis, Mercedes, Emilio Rodríguez, and Diego Torres. Machine learning applied to active fixed-income portfolio management: a Lasso logit approach. Banco de España, 2023. http://dx.doi.org/10.53479/33560.

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The use of quantitative methods constitutes a standard component of the institutional investors’ portfolio management toolkit. In the last decade, several empirical studies have employed probabilistic or classification models to predict stock market excess returns, model bond ratings and default probabilities, as well as to forecast yield curves. To the authors’ knowledge, little research exists into their application to active fixed-income management. This paper contributes to filling this gap by comparing a machine learning algorithm, the Lasso logit regression, with a passive (buy-and-hold)
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Burton, Simon. Navigating the Evolving Landscape of Safety Standards for Machine Learning-based Road Vehicle Functions. SAE International, 2024. http://dx.doi.org/10.4271/epr2024017.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;ML approaches to solving some of the key perception and decision challenges in automated vehicle functions are maturing at an incredible rate. However, the setbacks experienced during initial attempts at widespread deployment have highlighted the need for a careful consideration of safety during the development and deployment of these functions. To better control the risk associated with this storm of complex functionality, open operating environments, and cutting-edge technology, there is a need for industry consensus o
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Burton, Simon. The Path to Safe Machine Learning for Automotive Applications. SAE International, 2023. http://dx.doi.org/10.4271/epr2023023.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Recent rapid advancement in machine learning (ML) technologies have unlocked the potential for realizing advanced vehicle functions that were previously not feasible using traditional approaches to software development. One prominent example is the area of automated driving. However, there is much discussion regarding whether ML-based vehicle functions can be engineered to be acceptably safe, with concerns related to the inherent difficulty and ambiguity of the tasks to which the technology is applied. This leads to chal
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Muelaner, Jody Emlyn. Generative Design in Aerospace and Automotive Structures. SAE International, 2024. http://dx.doi.org/10.4271/epr2024016.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Semi-automated computational design methods involving physics-based simulation, optimization, machine learning, and generative artificial intelligence (AI) already allow greatly enhanced performance alongside reduced cost in both design and manufacturing. As we progress, developments in user interfaces, AI integration, and automation of workflows will increasingly reduce the human inputs required to achieve this. With this, engineering teams must change their mindset from designing products to specifying requirements, fo
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Redwood, John. Environmental and Social Management in Multisectoral Urban Development Projects: A Good Practice Study of the IDB-Supported Procidades Program in Brazil. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0006981.

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Over the past several decades, the Inter-American Development Bank (hereafter "the Bank") has gained considerable experience with regard to the promotion of urban development in Brazil through multi-sectoral and global multiple works projects at the municipal level. This has also entailed a valuable learning process with respect to the challenges in environmental and social planning and management associated with urban development in the country. As a result, much of what the Bank is currently doing in connection with its extensive urban development portfolio in Brazil can be characterized as
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Phillips, Paul. The Adoption of Digital Twins in Integrated Vehicle Health Management. SAE International, 2023. http://dx.doi.org/10.4271/epr2023024.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;To many, a digital twin offers “functionality,” or the ability to virtually rerun events that have happened on the real system and the ability to simulate future performance. However, this requires models based on the physics of the system to be built into the digital twin, links to data from sensors on the real live system, and sophisticated algorithms incorporating artificial intelligence (AI) and machine learning (ML). All of this can be used for integrated vehicle health management (IVHM) decisions, such as determini
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Nasr, Elhami, Tariq Shehab, Nigel Blampied, and Vinit Kanani. Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2365.

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The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected
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Inter-American Development Bank Sustainability Review 2008. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0005736.

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The Inter-American Development Bank (IDB) is committed to integrating sustainability within the full spectrum of its operations and to promoting the value of sustainability among its stakeholders. In 2008, to help prioritize and to report on progress adequately, the Bank has defined a framework called the Sustainability Agenda. The Sustainability Agenda is based on six key objectives for the Bank and includes both established commitments and new specific goals, as reported in this and previous Sustainability Reviews. Each objective will be supported by concrete actions that will be measured an
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