Advances in Machine Learning and Computational Intelligence PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances in Machine Learning and Computational Intelligence PDF full book. Access full book title Advances in Machine Learning and Computational Intelligence by Srikanta Patnaik. Download full books in PDF and EPUB format.
Author: Srikanta Patnaik
Publisher: Springer Nature
ISBN: 9811552436
Category : Technology & Engineering
Languages : en
Pages : 853
Get Book Here
Book Description
This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.
Author: Srikanta Patnaik
Publisher: Springer Nature
ISBN: 9811552436
Category : Technology & Engineering
Languages : en
Pages : 853
Get Book Here
Book Description
This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.
Author: Leon Levy
Publisher: PublicAffairs
ISBN: 0786730153
Category : Business & Economics
Languages : en
Pages : 237
Get Book Here
Book Description
As stock prices and investor confidence have collapsed in the wake of Enron, WorldCom, and the dot-com crash, people want to know how this happened and how to make sense of the uncertain times to come. Into the breach comes one of Wall Street's legendary investors, Leon Levy, to explain why the market so often confounds us, and why those who ought to understand it tend to get chewed up and spat out. Levy, who pioneered many of the innovations and investment instruments that we now take for granted, has prospered in every market for the past fifty years, particularly in today's bear market. In The Mind of Wall Street he recounts stories of his successes and failures to illustrate how investor psychology and willful self-deception so often play critical roles in the process. Like his peers George Soros and Warren Buffett, Levy takes a long and broad view of the rhythms of the markets and the economy. He also offers a provocative analysis of the spectacular Internet bubble, showing that the market has not yet completely recovered from its bout of "irrational exuberance." The Mind of Wall Street is essential reading for all of us, whether we are active traders or simply modest contributors to our 401(k) plans, as volatile and unnerving markets come to define so much of our net worth.
Author: Andrew Wen-Chuan Lo
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 68
Get Book Here
Book Description
A test for long-run memory that is robust to short-range dependence is developed. It is a simple extension of Mandelbrot's "range over standard deviation" or R/S statistic, for which the relevant asymptotic sampling theory is derived via functional central limit theory. This test is applied to daily, weekly, monthly, and annual stock returns indexes over several different time periods. Contrary to previous findings, there is no evidence of long-range dependence in any of the indexes over any sample period or sub-period once short-term autocorrelations are taken into account. Illustrative Monte Carlo experiments indicate that the modified R/S test has power against at least two specific models of long-run memory, suggesting that stochastic models of short-range dependence may adequately capture the time series behavior of stock returns
Author: Peter M. Robinson
Publisher: Advanced Texts in Econometrics
ISBN: 9780199257300
Category : Business & Economics
Languages : en
Pages : 396
Get Book Here
Book Description
Long memory time series are characterized by a strong dependence between distant events.
Author: Charles D. Kirkpatrick II
Publisher: FT Press
ISBN: 0132599627
Category : Business & Economics
Languages : en
Pages : 700
Get Book Here
Book Description
Already the field's most comprehensive, reliable, and objective guidebook, Technical Analysis: The Complete Resource for Financial Market Technicians, Second Edition has been thoroughly updated to reflect the field's latest advances. Selected by the Market Technicians Association as the official companion to its prestigious Chartered Market Technician (CMT) program, this book systematically explains the theory of technical analysis, presenting academic evidence both for and against it. Using hundreds of fully updated illustrations, the authors explain the analysis of both markets and individual issues, and present complete investment systems and portfolio management plans. They present authoritative, up-to-date coverage of tested sentiment, momentum indicators, seasonal affects, flow of funds, testing systems, risk mitigation strategies, and many other topics. This edition thoroughly covers the latest advances in pattern recognition, market analysis, and systems management. The authors introduce new confidence tests; cover increasingly popular methods such as Kagi, Renko, Kase, Ichimoku, Clouds, and DeMark indicators; present innovations in exit stops, portfolio selection, and testing; and discuss the implications of behavioral bias for technical analysis. They also reassess old formulas and methods, such as intermarket relationships, identifying pitfalls that emerged during the recent market decline. For traders, researchers, and serious investors alike, this is the definitive book on technical analysis.
Author: Subhransu Sekhar Dash
Publisher: Springer Nature
ISBN: 9811501998
Category : Technology & Engineering
Languages : en
Pages : 781
Get Book Here
Book Description
This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
Author: Andrew W. Lo
Publisher: Princeton University Press
ISBN: 1400829097
Category : Business & Economics
Languages : en
Pages : 449
Get Book Here
Book Description
For over half a century, financial experts have regarded the movements of markets as a random walk--unpredictable meanderings akin to a drunkard's unsteady gait--and this hypothesis has become a cornerstone of modern financial economics and many investment strategies. Here Andrew W. Lo and A. Craig MacKinlay put the Random Walk Hypothesis to the test. In this volume, which elegantly integrates their most important articles, Lo and MacKinlay find that markets are not completely random after all, and that predictable components do exist in recent stock and bond returns. Their book provides a state-of-the-art account of the techniques for detecting predictabilities and evaluating their statistical and economic significance, and offers a tantalizing glimpse into the financial technologies of the future. The articles track the exciting course of Lo and MacKinlay's research on the predictability of stock prices from their early work on rejecting random walks in short-horizon returns to their analysis of long-term memory in stock market prices. A particular highlight is their now-famous inquiry into the pitfalls of "data-snooping biases" that have arisen from the widespread use of the same historical databases for discovering anomalies and developing seemingly profitable investment strategies. This book invites scholars to reconsider the Random Walk Hypothesis, and, by carefully documenting the presence of predictable components in the stock market, also directs investment professionals toward superior long-term investment returns through disciplined active investment management.
Author: Gourishankar S. Hiremath
Publisher: Springer Science & Business Media
ISBN: 8132215907
Category : Business & Economics
Languages : en
Pages : 135
Get Book Here
Book Description
India is one of the major emerging economies of the world and has witnessed tremendous economic growth over the last decades. The reforms in the financial sector were introduced to infuse energy and vibrancy into the process of economic growth. The Indian stock market now has the largest number of listed companies in the world. The phenomenal growth of the Indian equity market and its growing importance in the economy is indicated by the extent of market capitalization and the increasing integration of the Indian economy with the global economy. Various schools of thought explain the behaviour of stock returns. The Efficient Market Theory is the most important theory of the School of Neoclassical Finance based on rational expectation and no-trade argument. The book investigates the growth and efficiency of the Indian stock market in the theoretical framework of the Efficiency Market Hypothesis (EMH). The main objective of the present study is to examine the returns behaviour in the Indian equity market in the changed market environment. A detailed and rigorous analysis, made with the help of the sophisticated time series econometric models, is one of the key elements of this volume. The analysis empirically tests the random walk hypothesis and focuses on issues like nonlinear dynamics, structural breaks and long memory. It uses new and disaggregated data on recent reforms and changes in the market microstructure. The data on various indices including sectoral indices help in measuring the relative efficiency of the market and understanding how liquidity and market capitalization affect the efficiency of the market.
Author: Faisal Saeed
Publisher: Springer Nature
ISBN: 303070713X
Category : Computers
Languages : en
Pages : 1262
Get Book Here
Book Description
This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.
Author: Sabu M. Thampi
Publisher: Springer Nature
ISBN: 9813361735
Category : Technology & Engineering
Languages : en
Pages : 340
Get Book Here
Book Description
This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2020) held in VIT, Chennai, India, during October 14–17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.
