Assessing And Improving Prediction And Classification

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Assessing And Improving Prediction And Classification
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Author : Timothy Masters
language : en
Publisher: Apress
Release Date : 2017-12-19
Assessing And Improving Prediction And Classification written by Timothy Masters and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application. Considerable attention is given to information theory, especially as it relates to discovering and exploiting relationships between variables employed by your models. This presentation of an often confusing subject avoids advanced mathematics, focusing instead on concepts easily understood by those with modest background in mathematics. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Manyof these techniques are recent developments, still not in widespread use. Others are standard algorithms given a fresh look. In every case, the emphasis is on practical applicability, with all code written in such a way that it can easily be included in any program. What You'll Learn Compute entropy to detect problematic predictors Improve numeric predictions using constrained and unconstrained combinations, variance-weighted interpolation, and kernel-regression smoothing Carry out classification decisions using Borda counts, MinMax and MaxMin rules, union and intersection rules, logistic regression, selection by local accuracy, maximization of the fuzzy integral, and pairwise coupling Harness information-theoretic techniques to rapidly screen large numbers of candidate predictors, identifying those that are especially promising Use Monte-Carlo permutation methods to assessthe role of good luck in performance results Compute confidence and tolerance intervals for predictions, as well as confidence levels for classification decisions Who This Book is For Anyone who creates prediction or classification models will find a wealth of useful algorithms in this book. Although all code examples are written in C++, the algorithms are described in sufficient detail that they can easily be programmed in any language.
Assessing And Improving Prediction And Classification
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Author : Timothy Masters
language : en
Publisher: CreateSpace
Release Date : 2013-04-21
Assessing And Improving Prediction And Classification written by Timothy Masters and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-21 with Mathematics categories.
This book begins by presenting methods for performing practical, real-life assessment of the performance of prediction and classification models. It then goes on to discuss techniques for improving the performance of such models by intelligent resampling of training/testing data, combining multiple models into sophisticated committees, and making use of exogenous information to dynamically choose modeling methodologies. Rigorous statistical techniques for computing confidence in predictions and decisions receive extensive treatment. Finally, a hundred pages are devoted to the use of information theory in evaluating and selecting useful predictors. Special attention is paid to Schreiber's Information Transfer, a recent generalization of Grainger Causality. Well commented C++ code is given for every algorithm and technique. The ultimate purpose of this text is three-fold. The first goal is to open the eyes of serious developers to some of the hidden pitfalls that lurk in the model development process. The second is to provide broad exposure for some of the most powerful model enhancement algorithms that have emerged from academia in the last two decades, while not bogging down readers in cryptic mathematical theory. Finally, this text should provide the reader with a toolbox of ready-to-use C++ code that can be easily incorporated into his or her existing programs.
Assessing And Improving Prediction And Classification Theory And Algorithms In C
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Author : Timothy Masters
language : en
Publisher:
Release Date : 2018
Assessing And Improving Prediction And Classification Theory And Algorithms In C written by Timothy Masters and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Electronic book categories.
Proceedings Of The Future Technologies Conference Ftc 2022 Volume 1
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2022-10-12
Proceedings Of The Future Technologies Conference Ftc 2022 Volume 1 written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-12 with Technology & Engineering categories.
The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
Testing And Tuning Market Trading Systems
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Author : Timothy Masters
language : en
Publisher: Apress
Release Date : 2018-10-26
Testing And Tuning Market Trading Systems written by Timothy Masters and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-26 with Computers categories.
Build, test, and tune financial, insurance or other market trading systems using C++ algorithms and statistics. You’ve had an idea and have done some preliminary experiments, and it looks promising. Where do you go from here? Well, this book discusses and dissects this case study approach. Seemingly good backtest performance isn't enough to justify trading real money. You need to perform rigorous statistical tests of the system's validity. Then, if basic tests confirm the quality of your idea, you need to tune your system, not just for best performance, but also for robust behavior in the face of inevitable market changes. Next, you need to quantify its expected future behavior, assessing how bad its real-life performance might actually be, and whether you can live with that. Finally, you need to find its theoretical performance limits so you know if its actual trades conform to this theoretical expectation, enabling you to dump the system if it does not liveup to expectations. This book does not contain any sure-fire, guaranteed-riches trading systems. Those are a dime a dozen... But if you have a trading system, this book will provide you with a set of tools that will help you evaluate the potential value of your system, tweak it to improve its profitability, and monitor its on-going performance to detect deterioration before it fails catastrophically. Any serious market trader would do well to employ the methods described in this book. What You Will Learn See how the 'spaghetti-on-the-wall' approach to trading system development can be done legitimately Detect overfitting early in development Estimate the probability that your system's backtest results could have been due to just good luck Regularize a predictive model so it automatically selects an optimal subset of indicator candidates Rapidly find the global optimum for any type of parameterized trading system Assess the ruggedness of your trading system against market changes Enhance the stationarity and information content of your proprietary indicators Nest one layer of walkforward analysis inside another layer to account for selection bias in complex trading systems Compute a lower bound on your system's mean future performance Bound expected periodic returns to detect on-going system deterioration before it becomes severe Estimate the probability of catastrophic drawdown Who This Book Is For Experienced C++ programmers, developers, and software engineers. Prior experience with rigorous statistical procedures to evaluate and maximize the quality of systems is recommended as well.
Research Program Plan
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Author : National Institute of Justice (U.S.)
language : en
Publisher:
Release Date : 1987
Research Program Plan written by National Institute of Justice (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Criminal justice, Administration of categories.
Mineral Deposits And Evaluation
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Author : Prof. Dr. Bilal Semih Bozdemir
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :
Mineral Deposits And Evaluation written by Prof. Dr. Bilal Semih Bozdemir and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
Mineral Deposits and Evaluation Introduction to Mineral Deposits Geological Formation of Mineral Deposits Exploration Techniques for Mineral Deposits Resource Estimation and Classification Economic Evaluation of Mineral Deposits Environmental Considerations in Mining Conclusion and Key Takeaways
Insar And Deep Learning In Landslides Research Intelligent Identification Risk Assessment And Susceptibility Mapping
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Author : Yi He
language : en
Publisher: Springer Nature
Release Date : 2025-07-23
Insar And Deep Learning In Landslides Research Intelligent Identification Risk Assessment And Susceptibility Mapping written by Yi He and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Nature categories.
This book combines remote sensing and deep learning technology to develop a variety of models in the study of different type landslides in a wide range of areas including northwest, southwest and southern China. It explores the application of various deep learning methods in landslide identification and sensitivity mapping. It also explores intelligent landslide monitoring and susceptibility mapping using a variety of data and methods, providing ideas and methods for landslide prevention and mitigation. This book is suitable for professionals in the field of landslide monitoring and graduate students in the fields of remote sensing and geological hazards research to mitigate this most widespread and harmful geological hazards in the world.
21st Century Criminology A Reference Handbook
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Author : J. Mitchell Miller
language : en
Publisher: SAGE
Release Date : 2009-08-06
21st Century Criminology A Reference Handbook written by J. Mitchell Miller and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-06 with Social Science categories.
Criminology has experienced tremendous growth over the last few decades, evident, in part, by the widespread popularity and increased enrollment in criminology and criminal justice departments at the undergraduate and graduate levels across the U.S. and internationally. Evolutionary paradigmatic shift has accompanied this surge in definitional, disciplinary and pragmatic terms. Though long identified as a leading sociological specialty area, criminology has emerged as a stand-alone discipline in its own right, one that continues to grow and is clearly here to stay. Criminology, today, remains inherently theoretical but is also far more applied in focus and thus more connected to the academic and practitioner concerns of criminal justice and related professional service fields. Contemporary criminology is also increasingly interdisciplinary and thus features a broad variety of ideological orientations to and perspectives on the causes, effects and responses to crime. 21st Century Criminology: A Reference Handbook provides straightforward and definitive overviews of 100 key topics comprising traditional criminology and its modern outgrowths. The individual chapters have been designed to serve as a "first-look" reference source for most criminological inquires. Both connected to the sociological origins of criminology (i.e., theory and research methods) and the justice systems' response to crime and related social problems, as well as coverage of major crime types, this two-volume set offers a comprehensive overview of the current state of criminology. From student term papers and masters theses to researchers commencing literature reviews, 21st Century Criminology is a ready source from which to quickly access authoritative knowledge on a range of key issues and topics central to contemporary criminology. This two-volume set in the SAGE 21st Century Reference Series is intended to provide undergraduate majors with an authoritative reference source that will serve their research needs with more detailed information than encyclopedia entries but not so much jargon, detail, or density as a journal article or research handbook chapter. 100 entries or "mini-chapters" highlight the most important topics, issues, questions, and debates any student obtaining a degree in this field ought to have mastered for effectiveness in the 21st century. Curricular-driven, chapters provide students with initial footholds on topics of interest in researching term papers, in preparing for GREs, in consulting to determine directions to take in pursuing a senior thesis, graduate degree, career, etc. Comprehensive in coverage, major sections include The Discipline of Criminology, Correlates of Crime, Theories of Crime & Justice, Measurement & Research, Types of Crime, and Crime & the Justice System. The contributor group is comprised of well-known figures and emerging young scholars who provide authoritative overviews coupled with insightful discussion that will quickly familiarize researchers, students, and general readers alike with fundamental and detailed information for each topic. Uniform chapter structure makes it easy for students to locate key information, with most chapters following a format of Introduction, Theory, Methods, Applications, Comparison, Future Directions, Summary, Bibliography & Suggestions for Further Reading, and Cross References. Availability in print and electronic formats provides students with convenient, easy access wherever they may be.
Safety Pharmacology Risk Assessment Qt Interval Prolongation And Beyond
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Author : Esther Pueyo
language : en
Publisher: Frontiers Media SA
Release Date : 2018-08-16
Safety Pharmacology Risk Assessment Qt Interval Prolongation And Beyond written by Esther Pueyo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-16 with categories.
Current regulatory guidelines for cardiac safety utilize hERG block and QT interval prolongation as risk markers. This strategy has been successful at preventing harmful drugs from being marketed, but criticized for leading to early withdrawal of potentially safe drugs. Here we collected a series of articles presenting new technological and conceptual advances, including refinement of ex vivo and in vitro assays, screens and models, and in silico approaches reflecting the increasing effort that has been put forward by regulatory agencies, industry, and academia to try and address the need of a more accurate, mechanistically-based paradigm of proarrhythmic potential of drugs. This Research Topic is dedicated to the memory of Dr. J. Jeremy Rice, our wonderful friend and colleague.