Relevant bibliographies by topics / Fast frugal tree

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Fast frugal tree'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Fast frugal tree"

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Das, Subasish, Beverly Storey, Tahmida Hossain Shimu, Sudeshna Mitra, Magdalena Theel, and Bita Maraghehpour. "Severity analysis of tree and utility pole crashes: Applying fast and frugal heuristics." IATSS Research 44, no. 2 (2020): 85–93. http://dx.doi.org/10.1016/j.iatssr.2019.08.001.

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Sivasankaran, Sathish Kumar, and Venkatesh Balasubramanian. "Applying fast and frugal tree heuristic algorithm to identify factors influencing crash severity of bicycle–vehicle crashes in Tamilnadu." International Journal of Injury Control and Safety Promotion 27, no. 4 (2020): 482–92. http://dx.doi.org/10.1080/17457300.2020.1812669.

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Lafond, Daniel, Benoît Roberge-Vallières, François Vachon, and Sébastien Tremblay. "Judgment Analysis in a Dynamic Multitask Environment: Capturing Nonlinear Policies Using Decision Trees." Journal of Cognitive Engineering and Decision Making 11, no. 2 (2016): 122–35. http://dx.doi.org/10.1177/1555343416661889.

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Policy capturing is a judgment analysis method that typically uses linear statistical modeling to estimate expert judgments. A variant to this technique is to capture decision policies using data-mining algorithms designed to handle nonlinear decision rules, missing attributes, and noisy data. In the current study, we tested the effectiveness of a decision-tree induction algorithm and an instance-based classification method for policy capturing in comparison to the standard linear approach. Decision trees are relevant in naturalistic decision-making contexts since they can be used to represent
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Salgia, Ravi, Isa Mambetsariev, Tingting Tan, et al. "Complex Oncological Decision-Making Utilizing Fast-and-Frugal Trees in a Community Setting—Role of Academic and Hybrid Modeling." Journal of Clinical Medicine 9, no. 6 (2020): 1884. http://dx.doi.org/10.3390/jcm9061884.

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Non-small cell lung cancer is a devastating disease and with the advent of targeted therapies and molecular testing, the decision-making process has become complex. While established guidelines and pathways offer some guidance, they are difficult to utilize in a busy community practice and are not always implemented in the community. The rationale of the study was to identify a cohort of patients with lung adenocarcinoma at a City of Hope community site (n = 11) and utilize their case studies to develop a decision-making framework utilizing fast-and-frugal tree (FFT) heuristics. Most patients
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Babenko, Dmitriy, Aliya Seidullayeva, Dinagul Bayesheva, et al. "Ability of Procalcitonin and C-Reactive Protein for Discriminating between Bacterial and Enteroviral Meningitis in Children Using Decision Tree." BioMed Research International 2021 (August 2, 2021): 1–7. http://dx.doi.org/10.1155/2021/5519436.

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Bacterial meningitis (BM) is a public health burden in developing countries, including Central Asia. This disease is characterized by a high mortality rate and serious neurological complications. Delay with the start of adequate therapy is associated with an increase in mortality for patients with acute bacterial meningitis. Cerebrospinal fluid culture, as a gold standard in bacterial meningitis diagnosis, is time-consuming with modest sensitivity, and this is unsuitable for timely decision-making. It has been shown that bacterial meningitis differentiation from viral meningitis could be done
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Shin, So Mi, Kyung Su Kim, Gil Joon Suh, et al. "Prediction of neurological outcomes following the return of spontaneous circulation in patients with out-of-hospital cardiac arrest: Retrospective fast-and-frugal tree analysis." Resuscitation 133 (December 2018): 65–70. http://dx.doi.org/10.1016/j.resuscitation.2018.10.002.

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Cordaro, Francesco, and Alain Desdoigts. "Bounded Rationality, Social Capital and Technology Adoption in Family Farming: Evidence from Cocoa-Tree Crops in Ivory Coast." Sustainability 13, no. 13 (2021): 7483. http://dx.doi.org/10.3390/su13137483.

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In this paper, we allege that the hypothesis in favor of bounded rationality is a plausible explanation when it comes to better understanding the sluggish pace of adoption of best available tree crop farming techniques in poor small-scale rural communities. Our research builds on data collection and analysis of cocoa farming in Ivory Coast. Firstly, we find that the cognitive scarcity under which smallholder farmers make their decisions, in particular, satisficing behavior and fast and frugal heuristics, outweigh the scarcity of financial and human resources. Secondly, we show that the structu
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Martignon, Laura, and Kathryn Laskey. "Statistical literacy for classification under risk: an educational perspective." AStA Wirtschafts- und Sozialstatistisches Archiv 13, no. 3-4 (2019): 269–78. http://dx.doi.org/10.1007/s11943-019-00259-3.

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AbstractAfter a brief description of the four components of risk literacy and the tools for analyzing risky situations, decision strategies are introduced, These rules, which satisfy tenets of Bounded Rationality, are called fast and frugal trees. Fast and frugal trees serve as efficient heuristics for decision under risk. We describe the construction of fast and frugal trees and compare their robustness for prediction under risk with that of Bayesian networks. In particular, we analyze situations of risky decisions in the medical domain. We show that the performance of fast and frugal trees d
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Luan, Shenghua, Lael J. Schooler, and Gerd Gigerenzer. "A signal-detection analysis of fast-and-frugal trees." Psychological Review 118, no. 2 (2011): 316–38. http://dx.doi.org/10.1037/a0022684.

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Luan, Shenghua, Lael J. Schooler, and Gerd Gigerenzer. "A signal-detection analysis of fast-and-frugal trees." Decision 1, S (2013): 24–55. http://dx.doi.org/10.1037/2325-9965.1.s.24.

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Dissertations / Theses on the topic "Fast frugal tree"

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Kennedy, Brian Michael Kennedy. "Leveraging Multimodal Tumor mRNA Expression Data from Colon Cancer: Prospective Observational Studies for Hypothesis Generating and Predictive Modeling." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1498742562364379.

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Fan, Fu-Yi, and 范復逸. "Chronic Disease Management Model Prescriptive Analysis Using Fast-and-Frugal Trees." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/v646wz.

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碩士<br>元智大學<br>工業工程與管理學系<br>107<br>To date, the death toll from cardiovascular disease in Taiwan has increased to more than 40,000. However, up to 90% of cardiovascular diseases can be prevented and highly controlled, but because their condition deteriorates slowly, it reduces the patient's alertness. Therefore, primary prevention and drug administration are very important. Statins are the most effective drugs for lowering blood lipid in prescription drugs, but they are expensive and have the risk of introducing muscle lesions, cognitive impairment, and diabetes. As a result, measuring the risk
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Book chapters on the topic "Fast frugal tree"

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Kolodej, Christa. "Was ist der „Fast and Frugal Tree“-Fragebogen für Mobbing?" In essentials. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19941-8_2.

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Martignon, Laura, Oliver Vitouch, Masanori Takezawa, and Malcolm R. Forster. "Naive and Yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees." In Thinking: Psychological Perspectives on Reasoning, Judgment and Decision Making. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/047001332x.ch10.

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Martignon, Laura F., Konstantinos V. Katsikopoulos, and Jan K. Woike. "Naïve, Fast, and Frugal Trees for Classification." In Ecological RationalityIntelligence in the World. Oxford University Press, 2012. http://dx.doi.org/10.1093/acprof:oso/9780195315448.003.0106.

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Martignon, Laura, Oliver Vitouch, Masanori Takezawa, and Malcolm R. Forster. "Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees." In Heuristics. Oxford University Press, 2011. http://dx.doi.org/10.1093/acprof:oso/9780199744282.003.0006.

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Conference papers on the topic "Fast frugal tree"

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Cestnik, Bojan, and Alenka Kern. "Supporting decisions with fast and frugal trees for improving trust in public housing services." In CompSysTech '19: 20th International Conference on Computer Systems and Technologies. ACM, 2019. http://dx.doi.org/10.1145/3345252.3345303.

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You might also be interested in the extended bibliographies on the topic 'Fast frugal tree' for particular source types:
Journal articles
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