Relevant bibliographies by topics / Decision refinement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Decision refinement'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Decision refinement"

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Hillner, Bruce E. "Decision-theoretic Refinement Planning." Medical Decision Making 16, no. 4 (1996): 419–20. http://dx.doi.org/10.1177/0272989x9601600414.

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Sakurai, Shigeaki. "Refinement of fuzzy decision tree." IEEJ Transactions on Electronics, Information and Systems 117, no. 12 (1997): 1833–39. http://dx.doi.org/10.1541/ieejeiss1987.117.12_1833.

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Haddawy, Peter, Anhai Doan, and Charles E. Kahn. "Decision-theoretic Refinement Planning in Medical Decision Making." Medical Decision Making 16, no. 4 (1996): 315–25. http://dx.doi.org/10.1177/0272989x9601600402.

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Kline, Theresa J. B. "Refinement and Evaluation of the Decision-Making Questionnaire." Psychological Reports 78, no. 1 (1996): 151–62. http://dx.doi.org/10.2466/pr0.1996.78.1.151.

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The psychometric properties of the Decision-making Questionnaire which was designed to assess decision-making in an organizational context were investigated by administering the questionnaire to 54 undergraduate students. The dimensions measured are Effectiveness, Confidence, and Information used in making both tactical and strategic organizational decisions. The assessment of the Effectiveness scores consisted of examining item-to-total correlations, principal components analyses, and internal consistencies. Also, the relationships amongst all three dimensions measured by the scale as well as
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Damnjanović, Kaja, Sandra Ilić, Irena Pavlović, and Vera Novković. "Refinement of outcome bias measurement in the parental decision-making context." Europe’s Journal of Psychology 15, no. 1 (2019): 41–58. http://dx.doi.org/10.5964/ejop.v15i1.1698.

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The aim of this study was twofold: one was to test the impact of the involvement on the parental outcome bias, and the second was to refine the measurement of outcome bias, normally reported as the difference between evaluations of a single decision, with different outcomes assigned to it. We introduced the evaluation of a decision without an outcome, to induce theoretically normative evaluation, unbiased by outcome, from which the evaluation shift could be calculated in either direction. To test this refinement in the parental decision-making context, we produced childcare dilemmas with varyi
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Stone, Thomas, Seung-Kyum Choi, and Hemanth Amarchinta. "Structural model refinement under uncertainty using decision-maker preferences." Journal of Engineering Design 24, no. 9 (2013): 640–61. http://dx.doi.org/10.1080/09544828.2013.824560.

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Yerramareddy, Sudhakar, and Stephen C. Y. Lu. "Hierarchical and interactive decision refinement methodology for engineering design." Research in Engineering Design 4, no. 4 (1992): 227–39. http://dx.doi.org/10.1007/bf02032466.

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Shekaramiz, Mohammad, Todd K. Moon, and Jacob H. Gunther. "Exploration vs. Data Refinement via Multiple Mobile Sensors." Entropy 21, no. 6 (2019): 568. http://dx.doi.org/10.3390/e21060568.

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We examine the deployment of multiple mobile sensors to explore an unknown region to map regions containing concentration of a physical quantity such as heat, electron density, and so on. The exploration trades off between two desiderata: to continue taking data in a region known to contain the quantity of interest with the intent of refining the measurements vs. taking data in unobserved areas to attempt to discover new regions where the quantity may exist. Making reasonable and practical decisions to simultaneously fulfill both goals of exploration and data refinement seem to be hard and con
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Kaur, Iqbaldeep, and Rajesh Kumar Bawa. "Fuzzy based Schematic Component Selection Decision Search with OPAM-Ocaml Engine." Recent Patents on Computer Science 12, no. 3 (2019): 224–32. http://dx.doi.org/10.2174/2213275912666181210104742.

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Background: With an exponential increase in software online as well as offline, through each passing day, the task of digging out precise and relevant software components has become the need of the hour. There is no dearth of techniques used for the retrieval of software component from the available online and offline repositories in the conceptual as well as the empirical literature. However each of these techniques has its own set of limitations and suitability. Objective: The proposed technique gives concrete decision using schematic based search that gives better result and higher precisio
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Campbell, Felix S., Alon Silberstein, Julia Stoyanovich, and Yuval Moskovitch. "Query Refinement for Diverse Top-k Selection." Proceedings of the ACM on Management of Data 2, no. 3 (2024): 1–27. http://dx.doi.org/10.1145/3654969.

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Database queries are often used to select and rank items as decision support for many applications. As automated decision-making tools become more prevalent, there is a growing recognition of the need to diversify their outcomes. In this paper, we define and study the problem of modifying the selection conditions of an ORDER BY query so that the result of the modified query closely fits some user-defined notion of diversity while simultaneously maintaining the intent of the original query. We show the hardness of this problem and propose a mixed-integer linear programming (MILP) based solution
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Dissertations / Theses on the topic "Decision refinement"

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Aphale, Mukta S. "Intelligent agent support for policy authoring and refinement." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=225826.

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A policy (or norm) can be defined as a guideline stating what is allowed, what is forbidden and what is obligated for an entity, in a certain situation, so that an acceptable outcome is achieved. Policies occur in many types of scenarios, whether they are loose social networks of individuals or highly structured institutions. It is important, however, for policies to be consistent and to support the goals of organisations they govern. This requires a thorough understanding of the implications of introducing specific policies and how they interact. It is difficult, even for experts, to write co
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Ramachandran, Sowmya. "Theory refinement of Bayesian networks with hidden variables /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Mazzarella, Fabio. "The Unlucky broker." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/365.

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2010 - 2011<br>This dissertation collects results of the work on the interpretation, characteri- zation and quanti cation of a novel topic in the eld of detection theory -the Unlucky Broker problem-, and its asymptotic extension. The same problem can be also applied to the context of Wireless Sensor Networks (WSNs). Suppose that a WSN is engaged in a binary detection task. Each node of the system collects measurements about the state of the nature (H0 or H1) to be discovered. A common fusion center receives the observations from the sensors and implements an optimal test (for example in
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Sarigul, Erol. "Interactive Machine Learning for Refinement and Analysis of Segmented CT/MRI Images." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/25954.

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This dissertation concerns the development of an interactive machine learning method for refinement and analysis of segmented computed tomography (CT) images. This method uses higher-level domain-dependent knowledge to improve initial image segmentation results. A knowledge-based refinement and analysis system requires the formulation of domain knowledge. A serious problem faced by knowledge-based system designers is the knowledge acquisition bottleneck. Knowledge acquisition is very challenging and an active research topic in the field of machine learning and artificial intelligence. Common
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Arrufat, Ondina. "The refinement and validation of the critical decision making and problem solving scale moral dilema (CDP-MD)." FIU Digital Commons, 1995. http://digitalcommons.fiu.edu/etd/1426.

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This thesis extended previous research on critical decision making and problem solving by refining and validating a measure designed to assess the use of critical thinking and critical discussion in sociomoral dilemmas. The purpose of this thesis was twofold: 1) to refine the administration of the Critical Thinking Subscale of the CDP to elicit more adequate responses and for purposes of refining the coding and scoring procedures for the total measure, and 2) to collect preliminary data on the initial reliabilities of the measure. Subjects consisted of 40 undergraduate students at Florida Inte
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Wolf, Lisa Adams. "Testing and refinement of an integrated, ethically-driven environmental model of clinical decision-making in emergency settings." Thesis, Boston College, 2011. http://hdl.handle.net/2345/2224.

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Thesis advisor: Dorothy A. Jones<br>Thesis advisor: Pamela J. Grace<br>The purpose of the study was to explore the relationship between multiple variables within a model of critical thinking and moral reasoning that support and refine the elements that significantly correlate with accuracy and clinical decision-making. Background: Research to date has identified multiple factors that are integral to clinical decision-making. The interplay among suggested elements within the decision making process particular to the nurse, the patient, and the environment remain unknown. Determining the clinica
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Raghavan, Venkatesh. "Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/120.

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In the era of "big data revolution," marked by an exponential growth of information, extracting value from data enables analysts and businesses to address challenging problems such as drug discovery, fraud detection, and earthquake predictions. Multi-Criteria Decision Support (MCDS) queries are at the core of big-data analytics resulting in several classes of MCDS queries such as OLAP, Top-K, Pareto-optimal, and nearest neighbor queries. The intuitive nature of specifying multi-dimensional preferences has made Pareto-optimal queries, also known as skyline queries, popular. Existing skyline alg
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Darracott, Rosalyn M. "The development and refinement of the practice domain framework as a conceptual tool for understanding and guiding social care practice." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/86048/15/86048.pdf.

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This study identified the common factors that influence social care practice across disciplines (such as social work and psychology), practice fields, and geographical contexts and further developed the Practice Domain Framework as an empirically-based conceptual framework to assist practitioners in understanding practice complexities. The framework has application in critical reflection, professional supervision, interdisciplinary understanding, teamwork, management, teaching and research. A mixed-methods design was used to identify the components and structure of the refined framework. Eight
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Molinari, David U. "A psychometric examination and refinement of the Canadian Forces Attrition Information Questionnaire, CFAIQ, comparing the reasons cited by anglophones and francophones in the Leave decision process." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20843.pdf.

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El, Khalfi Zeineb. "Lexicographic refinements in possibilistic sequential decision-making models." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30269/document.

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Ce travail contribue à la théorie de la décision possibiliste et plus précisément à la prise de décision séquentielle dans le cadre de la théorie des possibilités, à la fois au niveau théorique et pratique. Bien qu'attrayante pour sa capacité à résoudre les problèmes de décision qualitatifs, la théorie de la décision possibiliste souffre d'un inconvénient important : les critères d'utilité qualitatives possibilistes comparent les actions avec les opérateurs min et max, ce qui entraîne un effet de noyade. Pour surmonter ce manque de pouvoir décisionnel, plusieurs raffinements ont été proposés d
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Books on the topic "Decision refinement"

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author, Buell Ryan W., and Harvard Business School, eds. Decision making under information asymmetry: Experimental evidence on belief refinements. Harvard Business School, 2014.

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Bonissone, Piero, and Kai Gobel. Information Refinement and Revision for Decision Making : Papers from the AAAI Spring Symposium: Modeling for Diagnostics, Prognostics, and Prediction. AAAI Press, 2002.

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Hallman, William K. What the Public Thinks and Knows About Science—and Why It Matters. Edited by Kathleen Hall Jamieson, Dan M. Kahan, and Dietram A. Scheufele. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.013.6.

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Modern conceptions of science literacy include knowledge of science facts; a grasp of scientific methods, norms, and practices; awareness of current discoveries and controversies involving science and refinement of the ability to comprehend and evaluate their implications; the capability to assess the priorities and actions of scientific institutions; and the capacity to engage in civic discourse and decision-making with regard to specific issues involving science. Advocates of increased science literacy maintain that widespread public understanding of science benefits individuals, culture, so
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Great Britain: Department for Transport. Government Response to the Design Refinement Consultation: Decisions and Safeguarding Directions for Northolt and Bromford. Stationery Office, The, 2013.

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Bicchieri, Cristina, and Giacomo Sillari. Game Theory. Edited by Paul Humphreys. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.18.

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Game theory aims to understand situations in which decision-makers interact strategically. Chess is an example, as are firms competing for business, politicians competing for votes, animals fighting over prey, bidders competing in auctions, threats and punishments in long-term relationships, and so on. In such situations, the outcome depends on what the parties do jointly. Decision-makers may be people, organizations, animals, or even genes. In this chapter, the authors review fundamental notions of game theory and their application to philosophy of science. In particular, Section 1 looks at g
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Oulasvirta, Antti, and Andreas Karrenbauer. Combinatorial Optimization for User Interface Design. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0005.

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Combinatorial optimization offers a rigorous but powerful approach to user interface design problems, defining problems mathematically such that they can be algorithmically solved. Design is defined as algorithmic combination of design decisions to obtain an optimal solution defined by an objective function. There are strong rationale for this method. First, core concepts such as ’design task’, ’design objective’, and ’optimal design’ become explicit and actionable. Second, solutions work well in practice, even for some problems traditionally out of reach of manual solutions. The method can as
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Anwar, Ashraf M., and Folkert Jan ten Cate. Tricuspid and pulmonary valves. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0016.

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Right-sided heart valves are complex anatomical structures. Studies describing the morphological and functional assessment of both valves are lacking. Most echocardiographic modalities provide a qualitative rather than quantitative approach.Echocardiography has a central role in the assessment of tricuspid regurgitation through estimation of severity, understanding the mechanism, assessment of pulmonary artery pressure, evaluation of right ventricular function, guidance towards surgery versus medical therapy, and assessment of valve competence after surgery.Transoesophageal echocardiography is
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Michael A, Newton. Part IV The ICC and its Applicable Law, 29 Charging War Crimes: Policy and Prognosis from a Military Perspective. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198705161.003.0029.

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The Rome Statute was designed to largely align criminal norms with actual state practice based on the realities of warfare. Article 8 embodied notable new refinements (e.g. in relation to disproportionate attack under Article 8(2)(b)(iv)), but did so against a backdrop of pragmatic military practice. This chapter dissects the structure of war crimes under Rome Statute to demonstrate this deliberate intention of Article 8 and then describes the correlative considerations related to charging practices for the maturing institution, including command responsibility. When properly understood and ap
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Baldino, Thomas J., and Kyle L. Kreider. U.S. Election Campaigns. ABC-CLIO, LLC, 2011. http://dx.doi.org/10.5040/9798216028376.

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This book provides an analytical guide to the modern political campaign, chronologically covering key federal, state, and local campaign laws, election commission rules, and the court decisions interpreting them. While the media and the public tend to focus on the personalities and foibles of the candidates and the horse-race elements of political campaigns, election outcomes often depend as much on the rules that limit candidates' activities and advertising as on the candidates' platforms and personal appeal. How much money may candidates raise? From whom can they accept money? When and how m
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Department of Defense. U. S. Army Attack Aviation in a Decisive Action Environment: History, Doctrine, and a Need for Doctrinal Refinement - Vietnam, Desert Storm, and Iraq War, Rotary Wing Attack, Technology and Sky Cavalry. Independently Published, 2017.

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Book chapters on the topic "Decision refinement"

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Yang, Zaifu. "Refinement and Stability of Stationary Points." In Theory and Decision Library. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-4839-0_7.

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Merkhofer, Miley W., and Lynn C. Maxwell. "Assessment, Refinement, and Narrowing of Options." In Tools to Aid Environmental Decision Making. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1418-2_8.

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Fijalkow, Nathanaël, Stefan Kiefer, and Mahsa Shirmohammadi. "Trace Refinement in Labelled Markov Decision Processes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49630-5_18.

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Dau, Hoang Nhat, Salem Chakhar, Djamila Ouelhadj, and Ahmed M. Abubahia. "Construction and Refinement of Preference Ordered Decision Classes." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29933-0_21.

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Drewes, Frank. "Selected Decision Problems for Square-Refinement Collage Grammars." In Algebraic Foundations in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24897-9_1.

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Rizzo, Giuseppe, Nicola Fanizzi, Jens Lehmann, and Lorenz Bühmann. "Integrating New Refinement Operators in Terminological Decision Trees Learning." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49004-5_33.

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Kampa, Maria, George Kampas, Ilias Gkotsis, Youssef Bouali, Anabel Peiró Baquedano, and Rami Iguerwane. "Supporting Decision-Making Through Methodological Scenario Refinement: The PREVENT Project." In Security Informatics and Law Enforcement. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69460-9_20.

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Junges, Sebastian, and Matthijs T. J. Spaan. "Abstraction-Refinement for Hierarchical Probabilistic Models." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13185-1_6.

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AbstractMarkov decision processes are a ubiquitous formalism for modelling systems with non-deterministic and probabilistic behavior. Verification of these models is subject to the famous state space explosion problem. We alleviate this problem by exploiting a hierarchical structure with repetitive parts. This structure not only occurs naturally in robotics, but also in probabilistic programs describing, e.g., network protocols. Such programs often repeatedly call a subroutine with similar behavior. In this paper, we focus on a local case, in which the subroutines have a limited effect on the
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Andriushchenko, Roman, Milan Češka, Sebastian Junges, and Filip Macák. "Small Decision Trees for MDPs with Deductive Synthesis." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-98679-6_8.

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Abstract Markov decision processes (MDPs) describe decision making subject to probabilistic uncertainty. A classical problem on MDPs is to compute a policy, selecting actions in every state, that maximizes the probability of reaching a dedicated set of target states. Computing such policies in tabular form is efficiently possible via standard algorithms. However, for further processing by either humans or machines, policies should be represented concisely, e.g., as a decision tree. This paper considers finding (almost) optimal decision trees of minimal depth and contributes a deductive synthes
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Varga, Igor, Eduard Bakstein, Greydon Gilmore, and Daniel Novak. "Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement." In Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60946-7_4.

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Conference papers on the topic "Decision refinement"

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Gu, Bill, Richard Kania, Ming Gao, and Wayne Feil. "Development of SCC Susceptibility Model Using Decision Tree Approach." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05479.

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Abstract Stress corrosion cracking (SCC) on pipelines has been extensively studied over the past three to four decades. Various models have been developed to predict where and how fast SCC occurs on pipelines. However, due to the complexity of SCC, no general models are currently available to accurately predict SCC on pipelines. Models developed based on operating experience for one geographic location has often performed poorly in another region. For example, the SCC soils model developed in the past predicts that low-pH SCC will occur in poorly drained, anaerobic soils; however, in the same
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Brulotte, Abby, Alex Monaghan, Yeshi Soleti, Amanda Downs, and John Hewitt. "Safety Data Analysis with Machine Learning." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1158.

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Safety professionals receive data from internal and external sources, then manually determine whether the issue constitutes a safety hazard. Many reports are received, and each report is reviewed, then investigated further, using a tedious, labor intensive, and possibly error prone process. In the course of reaching a decision, human bias is inevitable - any two humans could reach different conclusions, and the same individual human could draw different conclusions on different days. As technology has advanced, numerous approaches have been pursued, attempting to reduce human bias and improve
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Kazi, Monzure-Khoda, Akhilesh Gandhi, and M. M. Faruque Hasan. "Process and Network Design for Sustainable Hydrogen Economy." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.125411.

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This study presents a comprehensive approach to optimizing hydrogen supply chain network (HSCN), focusing initially on Texas, with potential scalability to national and global regions. Utilizing mixed-integer nonlinear programming (MINLP), the research decomposes into two distinct modeling stages: broad supply chain modeling and detailed hub-specific analysis. The first stage identifies optimal hydrogen hub locations, considering county-level hydrogen demand, renewable energy availability, and grid capacity. It determines the number and placement of hubs, county participation within these hubs
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Dehon, Victor, Paulina Quintanilla, and Antonio Del Rio Chanona. "Probabilistic Model Predictive Control for Mineral Flotation using Gaussian Processes." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.122018.

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Recent advancements in machine learning and time series analysis have opened new avenues for improving predictive control in complex systems such as mineral flotation. Techniques leveraging multivariate predictive control in mineral flotation have seen significant progress in recent years. However, challenges in developing an accurate dynamic model that encapsulates both the pulp and froth phases have hindered further advancements. Now, with a readily available model containing equations that describe the physics of flotation froths, an opportunity for novel control strategies presents itself.
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Ahi, Kiarash, Stewart Wu, Germain L. Fenger, et al. "AI-powered end-to-end product lifecycle: UX-centric human-in-the-loop system boosting reviewer productivity by 80%+ and accelerating decision-making via real-time anomaly detection and data refinement with GPU-accelerated computer vision, edge computing, and scalable cloud." In Metrology, Inspection, and Process Control XXXIX, edited by Matthew J. Sendelbach and Nivea G. Schuch. SPIE, 2025. https://doi.org/10.1117/12.3052252.

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Guo, Xu, and Zongyuan Yang. "Continuous simulation abstraction refinement for Markov decision processes." In 2017 4th International Conference on Systems and Informatics (ICSAI). IEEE, 2017. http://dx.doi.org/10.1109/icsai.2017.8248391.

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Zhang, Hao, Fengfeng Tan, and Zhan Ma. "Improved fast intra mode decision with reliability refinement." In 2013 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP). IEEE, 2013. http://dx.doi.org/10.1109/chinasip.2013.6625389.

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Javidi, Tara. "Information acquisition and sequential belief refinement." In 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016. http://dx.doi.org/10.1109/cdc.2016.7799449.

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Xiaohong Hu, Xu Qian, Lei Xi, and Xinming Ma. "Robust image annotation refinement via graph-based learning." In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5192005.

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Chen, Bin, and XinCheng Tan. "Linear Weighted Median Filtering for Stereo Disparity Refinement." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164279.

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Reports on the topic "Decision refinement"

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Tipireddy, Ramakrishna, Vinay Amatya, William Rosenthal, and Megha Subramanian. Sequential Decision Making (SDM) for Mesh Refinement and Model Selection in Multiscale, Multi-Physics Applications. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2395947.

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O'Neill, H. B., S. A. Wolfe, and C. Duchesne. Ground ice map of Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330294.

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This Open File presents national-scale mapping of ground ice conditions in Canada. The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations bet
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Saldanha, Ian J., Andrea C. Skelly, Kelly Vander Ley, et al. Inclusion of Nonrandomized Studies of Interventions in Systematic Reviews of Intervention Effectiveness: An Update. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepcmethodsguidenrsi.

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Introduction: Nonrandomized studies of interventions (NRSIs) are observational or experimental studies of the effectiveness and/or harms of interventions, in which participants are not randomized to intervention groups. There is increasingly widespread recognition that advancements in the design and analysis of NRSIs allow NRSI evidence to have a much more prominent role in decision making, and not just as ancillary evidence to randomized controlled trials (RCTs). Objective: To guide decisions about inclusion of NRSIs for addressing the effects of interventions in systematic reviews (SRs), thi
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Lindsay, Douglas T. US Army Attack Aviation in a Decisive Action Environment: History, Doctrine, and a Need for Doctrinal Refinement. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1001526.

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Feeley, Michael, Marilyn Brandt, David Bryan, et al. A cooperative multiagency reef fish monitoring protocol for the Florida and US Virgin Islands coral reef ecosystems: Protocol narrative version—2.0. National Park Service, 2025. https://doi.org/10.36967/2310167.

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Reef fish populations play a vital ecological and economic role in the coral reef ecosystems of Florida and the U.S. Virgin Islands (USVI). However, these populations face significant threats from habitat degradation, rising global temperature, coral diseases, and increased fishing pressures. Traditional fishery-dependent data have proven inadequate for accurately assessing reef fish populations, necessitating the development of standardized, fishery-independent methodology. This document presents the Cooperative Multiagency Reef Fish Monitoring Protocol, a unified methodology designed to asse
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Rankin, Nicole, Deborah McGregor, Candice Donnelly, et al. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, 2019. http://dx.doi.org/10.57022/clzt5093.

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Background Lung cancer is the number one cause of cancer death worldwide.(1) It is the fifth most commonly diagnosed cancer in Australia (12,741 cases diagnosed in 2018) and the leading cause of cancer death.(2) The number of years of potential life lost to lung cancer in Australia is estimated to be 58,450, similar to that of colorectal and breast cancer combined.(3) While tobacco control strategies are most effective for disease prevention in the general population, early detection via low dose computed tomography (LDCT) screening in high-risk populations is a viable option for detecting asy
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Implementing the Early Intervention Investment Framework: a report to the Victorian Department of Treasury and Finance. Australia and New Zealand School of Government, 2022. http://dx.doi.org/10.54810/stbq7161.

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The Victorian Department of Treasury and Finance (DTF) is implementing the Victorian Government’s Early Intervention Investment Framework (EIIF), a new budgeting tool designed to guide investment in early intervention initiatives with rigorous quantification requirements, and engaged ANZSOG to develop a research and practice paper to aid in the refinement and implementation of the EIIF. This ANZSOG paper considers what the most effective features are for the EIIF to support budgetary decision making on long-term social services investments, and what is required to realise this. It does so with
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