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Książki na temat „Decision Based Algorithm”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. Springer London, 2013.

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Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu, and Steven I. Marcus. Simulation-based Algorithms for Markov Decision Processes. Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-690-2.

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Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu, and Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5022-0.

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Soo, Chang Hyeong, ed. Simulation-based algorithms for Markov decision processes. Springer, 2007.

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5

K, Krzeczowski, American Institute of Aeronautics and Astronautics., and United States. National Aeronautics and Space Administration., eds. Knowledge-based scheduling of arrival aircraft. American Institute of Aeronautics and Astronautics, 1995.

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6

Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledg

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Albrecht, Eduardo. Political Automation. Oxford University Press, 2025. https://doi.org/10.1093/9780197696989.001.0001.

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Abstract Governments, once staffed exclusively with human bureaucrats, now routinely use AI-based software to gather information about citizens and make decisions that impact their lives. In many nations, AI determines the level of privacy a person can enjoy, how far they can travel, what public benefits they may receive, and what they can and cannot say publicly. This amounts to a phenomenon of political automation rapidly materializing globally and begs the question: What input do citizens have in how these machines think? The book explores this question in various domains—including policing

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8

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th

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Varlamov, Oleg. 18 examples of mivar expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert system

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Kochetova, Zhanna, Natal'ya Maslova, and Oleg Bazarskiy. Aviation and missile clusters and the environment. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1544137.

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The monograph introduces a new concept - the aviation and missile cluster as a new class of objects of geo-ecological monitoring, united by the solution of identical strategic tasks of the state, the interconnection of its structural elements, the identity of priority contaminants and products of their transformation. The scientific and methodological apparatus of complex geoecological monitoring of territories under the influence of objects of aviation and space activities is presented, including predictive models of the spread and transformation of priority contaminants in environmenta

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Minobrnauki, Rossiyskoy. Finance and Financial analysis. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242227.

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The textbook systematizes basic knowledge in the field of finance, financial analysis and financial management, presented in their direct relationship and significance from the point of view of evaluation, diagnosis, forecasting and monitoring of the continuity of the organization's activities. It includes seven chapters grouped into three sections. The first section is devoted to the theoretical foundations of the organization's financial management, stakeholders and sources of the organization's activities. The second section discusses the basics of financial analysis, providing knowledge of

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12

Chang, Hyeong Soo, Michael C. Fu, and Jiaqiao Hu. Simulation-Based Algorithms for Markov Decision Processes. Springer, 2013.

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13

Chang, Hyeong Soo, Michael C. Fu, Jiaqiao Hu, and Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2010.

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14

Chang, Hyeong Soo, Michael C. Fu, and Jiaqiao Hu. Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2015.

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15

Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2013.

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16

Vassiliadis, Vassilios, and Georgios Dounias. Algorithmic Trading based on Biologically Inspired Algorithms. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.11.

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The chapter discusses algorithmic trading, which refers to any automated process, consisting of a number of interconnected components, whose main aim is to perform financial transactions of any kind. Its chief advantage lies in the fact that human intervention is minimized to an acceptable extent. This is quite desirable because nowadays numerous factors affect financial decisions. Financial managers are able to deal with a limited amount of information. There are many ways to implement algorithmic trading systems. This chapter aims to highlight the efficiency of biologically inspired methodol

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17

Coomarasamy, Arri, and Jyotsna Pundir. Obstetrics: Evidence-Based Algorithms. Cambridge University Press, 2016.

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Coomarasamy, Arri, and Jyotsna Pundir. Obstetrics: Evidence-Based Algorithms. Cambridge University Press, 2017.

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Coomarasamy, Arri, and Jyotsna Pundir. Obstetrics: Evidence-Based Algorithms. Cambridge University Press, 2016.

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20

Coomarasamy, Arri, and Jyotsna Pundir. Gynaecology: Evidence-Based Algorithms. Cambridge University Press, 2016.

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Coomarasamy, Arri, and Jyotsna Pundir. Gynaecology: Evidence-Based Algorithms. Cambridge University Press, 2016.

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Coomarasamy, Arri, and Jyotsna Pundir. Gynaecology: Evidence-Based Algorithms. Cambridge University Press, 2016.

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23

Kritzer, Peter, and Fred J. Hickernell. Multivariate Algorithms and Information-Based Complexity. de Gruyter GmbH, Walter, 2020.

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24

Kritzer, Peter, and Fred J. Hickernell. Multivariate Algorithms and Information-Based Complexity. de Gruyter GmbH, Walter, 2020.

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25

Chang, Hyeong Soo, Michael C. Fu, Jiaqiao Hu, and Steven I. Marcus. Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering). Springer, 2007.

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26

Tree-based Machine Learning Algorithms: Decision Trees, Random Forests, and Boosting. CreateSpace Independent Publishing Platform, 2017.

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27

Universal artificial intelligence: Sequential decisions based on algorithmic probability. Springer, 2005.

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28

Hutter, Marcus. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability. Springer Berlin / Heidelberg, 2010.

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29

Hutter, Marcus. Universal Artificial Intelligence: Sequential Decisions Based On Algorithmic Probability. Springer, 2004.

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30

Feld, Leonard G., and John D. Mahan. Succinct Pediatrics: Evaluation and Management of Infectious Diseases and Dermatology. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020770.

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Confidently evaluate evidence-based information to make timely and accurate diagnoses and treatment decisions! Continuing with this volume, Succinct Pediatrics will be an ongoing series covering the entire scope of pediatric medicine. Each volume will include short chapters with key features and invaluable tables and algorithms, allowing health care professionals the opportunity to deliver the highest quality of care. The second volume features 58 topics with key points and detailed therapies in Infectious Diseases and Dermatological Disorders. The book starts with an overview of the core know

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31

Hutter, Marcus. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability (Texts in Theoretical Computer Science. An EATCS Series). Springer, 2006.

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32

Paneerselvam, Surekha. Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python. Nova Science Publishers, Incorporated, 2021.

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Paneerselvam, Surekha. Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python. Nova Science Publishers, Incorporated, 2021.

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34

Triantaphyllou, Evangelos. Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications. Springer, 2012.

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35

Triantaphyllou, Evangelos. Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications. Springer, 2011.

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36

Data mining and knowledge discovery via logic-based methods: Theory, algorithms, and applications. Springer, 2010.

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37

Feld, Leonard G., and John D. Mahan. Succinct Pediatrics: Evaluation and Management for Newborn, Genetic, Neurologic, and Developmental-Behavioral Disorders. American Academy of Pediatrics, 2017. http://dx.doi.org/10.1542/9781610021258.

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Obtain evidence-based information to make timely and accurate diagnoses and treatment decisions. Continuing with this volume, Succinct Pediatrics is an ongoing series covering the entire scope of pediatric medicine. Each volume includes concise chapters with key features and invaluable tables and algorithms--resources health care professionals can use to deliver the highest quality of care. This third volume features 41 topics with key points and detailed therapies in neonatology, genetics, neurology, and developmental and behavioral disorders. Evidence-based levels of decision support are als

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38

Helmchen, Hanfried. Fuzzy boundaries and tough decisions in psychiatry. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198722373.003.0007.

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In the field of mental disorders the boundaries between mental normality and disease are often blurred. Psychiatrists, being aware of the instrumental nature of psychiatric diagnoses, try to deal with these blurred boundaries by stipulating strict definitions of clinical categories, by operationalizing diagnoses, and by using evidence-based methods of production and algorithmic application of medical knowledge. However, the clinical uncertainties can only partially be reduced by these means, because the physician always has to consider the individuality of the patient as well as to find a help

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Lancellotti, Patrizio, Raluca Dulgheru, Mani Vannan, and Kiyoshi Yoshida. Heart valve disease (mitral valve disease): mitral regurgitation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0036.

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Mitral regurgitation (MR) is increasingly prevalent in Europe. Echocardiography has a key role in the diagnosis and management of patients with MR. Each echocardiographic study in patients with MR should aim to characterize mitral valve morphology, identify the mechanism of valve dysfunction, quantify the severity of MR, and give hints regarding the aetiology of the disease affecting the valve. Assessment of MR severity should be based on a step-wise approach including two-dimensional-derived Doppler data and, when available, data derived from three-dimensional echocardiography. MR assessment

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40

Deeks, Ashley S. The Double Black Box. Oxford University PressNew York, NY, 2025. https://doi.org/10.1093/9780197520932.001.0001.

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Abstract This book addresses a pressing challenge posed by artificial intelligence: its use may weaken democratic accountability for consequential U.S. national security choices, including war. To ensure that those choices adhere to the public law values of rationality, legality, and accountability, we rely on Congress and the courts, as well as foreign allies, whistleblowers, and even U.S. technology companies. But their work is hindered by the classified, “black box” nature of the Executive’s national security decision-making. The rise of AI systems to enhance national security decision-maki

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41

Ferguson, Colin. Pathophysiology and management of hypothermia. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0354.

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Accidental hypothermia is defined as a core temperature of <35°C and is uncommon. It may present in any age group at any time of the year. Hypothermia may be primary, where the cold injury is the major pathology, or secondary where patients develop hypothermia incidental to another illness. Since the severely cold patient may be in cardiac arrest, areflexic, and in coma, decision making regarding treatment, its initiation, and continuation, may be difficult. Hypothermia is classified into mild (33–35°C), moderate (28–33°C) and severe (<28°C), but these are not distinct clinical syndromes

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42

Wiggins, Benjamin. Calculating Race. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197504000.001.0001.

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Calculating Race: Racial Discrimination in Risk Assessment presents the historical relationship between statistical risk assessment and race in the United States. It illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and, in turn, helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. The monograph begins by investigating the development of statistical risk assessment explicitly based on race in the late-nineteenth-century life insurance industry. It then traces how such

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43

Agarwal, Anil, Santhini Jeyarajah, Rhiannon Harris, Ruwan Weerakkody, Greg McLatchie, and Neil Borley, eds. Oxford Handbook of Clinical Surgery. 5th ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198799481.001.0001.

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This new edition of the Oxford Handbook of Clinical Surgery is thoroughly revised with the latest guidelines, management algorithms, and guidance on decision-making. It features three new chapters, on day case surgery, remote and rural surgery, and emergency surgery. The book also offers surgically relevant anatomy and physiology, quick reference symbols, key diagrams, and a focus on evidence-based practice with key references throughout. It is thoroughly comprehensive, without sacrificing the clear, concise, and quick-reference style the Oxford Medical Handbooks are known for. Ultimately, the

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44

Nolan, Jerry P. Advanced life support. Edited by Neil Soni and Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0091.

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Anaesthetists have a central role in cardiopulmonary resuscitation (CPR). The incidence of treated out-of-hospital cardiopulmonary arrest is 40 per 100 000 population and is associated with a survival rate to hospital discharge of 8–10%. The incidence of in-hospital cardiac arrest (IHCA) is 1–5 per 1000 admissions and is associated with a survival rate to hospital discharge of 13–17%. The most effective strategy for reducing mortality from IHCA is to prevent it occurring by detecting and treating those at risk or to identify in advance those with no chance of survival and to make a decision no

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45

Roberts, Ian S. D., Philip Mason, and Agnes B. Fogo. The renal biopsy. Edited by Christopher G. Winearls. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0018.

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This chapter describes the indications for renal biopsy, the procedure, processing of the specimen and the diagnostic method applied by the nephropathologist, and illustrates the spectrum of pathologies seen. The terminology used in renal pathology is explained and illustrated. Diagnostic algorithms are presented. More detailed descriptions of the various pathologies, and in particular the rarer entities, are provided in specific chapters. The focus will be on native renal diseases. The renal biopsy is an invasive procedure associated with a risk of serious complications. The decision to perfo

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46

McGurk, Brendan, and Joe Tomlinson. Artificial Intelligence and Public Law. Hart Publishing, 2025. https://doi.org/10.5040/9781509966738.

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The Government's use of algorithmic-based decision-making is rapidly expanding across policy areas, including immigration, social security, regulation, security and policing. This book provides the first comprehensive analysis of how public law applies to the use of artificial intelligence and automation in the public sector in England and Wales. Starting with an accessible account of the nature of AI and automated systems being increasingly deployed in the public sector, the book covers the various legal regimes which regulate their use. It considers how the principles of judicial review migh

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47

Villez, Kris, Daniel Aguado, Janelcy Alferes, Queralt Plana, Maria Victoria Ruano, and Oscar Samuelsson, eds. Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems. IWA Publishing, 2024. http://dx.doi.org/10.2166/9781789061154.

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In recent years, the wastewater treatment field has undergone an instrumentation revolution. Thanks to increased efficiency of communication networks and extreme reductions in data storage costs, wastewater plants have entered the era of big data. Meanwhile, artificial intelligence and machine learning tools have enabled the extraction of valuable information from large-scale datasets. Despite this potential, the successful deployment of AI and automation depends on the quality of the data produced and the ability to analyze it usefully in large quantities. Metadata, including a quantification

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48

Mooney, Raymond J. Machine Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0020.

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This article introduces the type of symbolic machine learning in which decision trees, rules, or case-based classifiers are induced from supervised training examples. It describes the representation of knowledge assumed by each of these approaches and reviews basic algorithms for inducing such representations from annotated training examples and using the acquired knowledge to classify future instances. Machine learning is the study of computational systems that improve performance on some task with experience. Most machine learning methods concern the task of categorizing examples described b

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49

Zakrzewska, Joanna M., and Turo Nurmikko, eds. Trigeminal Neuralgia and Other Cranial Neuralgias. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198871606.001.0001.

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Trigeminal neuralgia and other cranial neuralgias comprise a group of facial pain conditions, characterized by disabling pain attacks that selectively respond to specific treatments. Although not as common as migraine they affect over 1% of the population. The spectrum of cranial neuralgias is wide and as a consequence, the conditions are managed by a range of different specialists. Studies show that delayed diagnoses and mismanagement are common and can lead to depression and suicide. This book aims to change that. It brings together the expertise of over 30 internationally recognized authors

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50

White, Chris, and Richard Koonce. Working with the Emotional Investor. ABC-CLIO, 2016. http://dx.doi.org/10.5040/9798216038801.

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An invaluable resource for wealth managers advising individuals, couples, and families, this book explains why human emotions drive all investor behavior and makes a powerful case for why advisors need to be aware of such emotions in advising clients—especially in high-stakes situations. Despite the fact that wealth advisors may employ algorithms, fancy financial models, economic theory, and predictive reasoning to forecast future investment returns, according to seasoned wealth management advisor Chris White, people—in other words, clients—basically decide how much risk to take with their mon

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