Download or read book A Comparison of Algorithms and Techniques Used in Automated Valuation Models written by Timothy Hunter Greer and published by . This book was released on 1999 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Automated Valuation Modeling written by Maurizio d'Amato and published by Springer. This book was released on 2017-01-28 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.
Download or read book Mass Appraisal Methods written by Tom Kauko and published by John Wiley & Sons. This book was released on 2009-01-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a cross-disciplinary and cross-cultural look atmass appraisal expertise for property valuation in different marketconditions, and offers some cutting- edge approaches. The editors establish an international platform and present thescientific debate as well as practical feasibility considerations.Heretic and orthodox valuation methods are assessed based onspecific criteria, partly technical and partly institutional.Methodological evaluation is approached using two types ofcriteria: operational concerns about how to determine propertyvalue differentials between spatial and functional units of realestate in a valid and reliable way (technical criteria); and thekind of market circumstances being operated in (institutionalcriteria). While technical criteria are relatively well-researched,there is little theoretically informed work on the connectionbetween country context and selection of property appraisalmethods. The book starts with an examination of current mass propertyappraisal practices, presenting case studies from widely differingmarkets - from the American and Dutch, where regression-basedmethods have been used successfully for some time; to the EasternEuropean and other emerging economies, where limitations have to becompensated by focusing on the modelling assumptions. The second part of the book looks at sophisticated modellingapproaches, some of which represent combinations of elements fromtwo or more techniques. Whatever the exact modelling approach, therequirements are always high for the quality of the data andsuitability of the method. In the final section, methods areevaluated and compared according to technical criteria and againstinstitutional contexts.With its exceptionally wide coverage ofvaluation issues, Mass Appraisal Methods: an internationalperspective for property valuers addresses property valuationproblems common to different countries and approaches applicable inboth developed and emerging economies.
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2005 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Download or read book Intelligent Information and Database Systems written by Ali Selamat and published by Springer. This book was released on 2013-02-26 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7802 and LNAI 7803 constitutes the refereed proceedings of the 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013, held in Kuala Lumpur, Malaysia in March 2013. The 108 revised papers presented were carefully reviewed and selected from numerous submissions. The papers included are grouped into topical sections on: innovations in intelligent computation and applications; intelligent database systems; intelligent information systems; tools and applications; intelligent recommender systems; multiple modal approach to machine learning; engineering knowledge and semantic systems; computational biology and bioinformatics; computational intelligence; modeling and optimization techniques in information systems, database systems and industrial systems; intelligent supply chains; applied data mining for semantic Web; semantic Web and ontology; integration of information systems; and conceptual modeling in advanced database systems.
Download or read book Big Data Intelligence and Computing written by Ching-Hsien Hsu and published by Springer Nature. This book was released on 2023-04-30 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.
Download or read book Neural Networks in Finance and Investing written by Robert R. Trippi and published by Irwin Professional Publishing. This book was released on 1996 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: This completely updated version of the classic first edition offers a wealth of new material reflecting the latest developments in teh field. For investment professionals seeking to maximize this exciting new technology, this handbook is the definitive information source.
Download or read book Computational Science and Its Applications ICCSA 2017 written by Osvaldo Gervasi and published by Springer. This book was released on 2017-07-13 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017. The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 international workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as computer graphics and virtual reality. Furthermore, this year ICCSA 2017 hosted the XIV International Workshop On Quantum Reactive Scattering. The program also featured 3 keynote speeches and 4 tutorials.
Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Download or read book Modern Methods of Valuation written by Eric Shapiro and published by Taylor & Francis. This book was released on 2013 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new and improved eleventh edition of this essential valuation textbook reflects the changes in the property market since 2009, whilst presenting the tried and tested study of the principles governing the valuation of land, houses and buildings of the previous editions. The eleventh edition is fully up-to-date with latest guidelines, statutes and case law, including the implications of the latest RICS Red Book and the Localism Act. Its comprehensive coverage of the legal, economic and technical aspects of valuation make this book a core text for most University and College Real Estate Programmes and to provide trainees (APC Candidates) and practitioners with current and relevant guidance on the preparation of valuations for statutory purposes. Over the twenty eight chapters, the author team of experienced valuation experts present detailed accounts of the application of these principles to the everyday problems met in practice. This new edition continues to be of excellent value to both students and practitioners alike as it provides the reader with a clear understanding of the methods and techniques of valuation.
Download or read book Real Estate Valuation Theory written by Manya M. Mooya and published by Springer. This book was released on 2016-03-17 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph critically reviews and updates real estate valuation theory, which is based on neoclassical economics, in light of developments in heterodox economic theory. Building on a comprehensive historical account of the evolution of value theory, the book uses new institutional economics theory and critical realism as lenses through which problems in standard valuation theory and practice are expatiated, and as the foundation for an alternative theory. The new theory is employed to explain major problems in real estate valuation that are beyond the capability of the standard theory, such as price bubbles in real estate markets, anchoring bias, client influence and valuation under uncertain market conditions.
Download or read book New Challenges in Computational Collective Intelligence written by Radoslaw Katarzyniak and published by Springer Science & Business Media. This book was released on 2009-08-27 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semantic web treated as an advanced tool that increases the collective intelligence in networking environments. The second one covers social networks modeling and analysis, where social networks are this area of in which various forms of computational collective intelligence emerges in a natural way. The third subfield relates us to agent and mul- agent systems understood as this computational and modeling paradigm which is especially tailored to capture the nature of computational collective intelligence in populations of autonomous individuals.
Download or read book Iterative Methods for Sparse Linear Systems written by Yousef Saad and published by SIAM. This book was released on 2003-04-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- General.
Download or read book Artificial Intelligence and Algorithms in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2018-05-26 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends and approaches in artificial intelligence research and its application to intelligent systems. It discusses hybridization of algorithms, new trends in neural networks, optimisation algorithms and real-life issues related to the application of artificial methods. The book constitutes the second volume of the refereed proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.
Download or read book Decision Tree and Boosting Techniques in Artificial Intelligence Based Automated Valuation Models AI AVM written by Tien Foo Sing and published by . This book was released on 2020 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops an artificial intelligence-based automated valuation model (AI-AVM) using the decision tree and the boosting techniques to predict residential property prices in Singapore. We use more than 300,000 property transaction data from Singapore's private residential property market for the period from 1995 to 2017 for the training of the AI-AVM models. The two tree-based AI-AVM models show superior performance over the traditional multiple regression analysis (MRA) model when predicting the property prices. We also extend the application of the AI-AVM to more homogenous public housing prices in Singapore, and the predictive performance remains robust. The boosting AI-AVM models that allow for inter-dependence structure in the decision trees is the best model that explains more than 88% of the variance in both private and public housing prices and keep the prediction errors to less than 6% for HDB and 9% for the private market. When subject the AI-AVM to the out-of-sample forecasting using the 2017-2019 testing property sale samples, the prediction errors remain within a narrow range of between 5% and 9%.
