Predictive Simplicity
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Predictive Simplicity
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Author : George J. Klir
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Predictive Simplicity written by George J. Klir and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Philosophy categories.
The book attempts to develop an account of simplicity in terms of testability, and to use this account to provide an adequate characterization of induction, one immune to the class of problems suggested by Nelson Goodman. It is then shown that the past success of induction, thus characterized, constitutes evidence for its future success. A qualitative measure of confirmation is developed, and this measure - along with the considerations of simplicity - is used to provide an account of the consilience of inductions, and also an inductivist account of the structure and progress of scientific theory. An appendix extends the treatment of simplicity to statistical distributions and provides a reasonable interpretation of the maximum entropy principle. Thus, this book is an attempt to characterize induction in terms of a well-defined notion of simplicity and to use that characterization as a basis of an account of empirical, and in particular, scientific reasoning.
Simplicity Inference And Modelling
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Author : Arnold Zellner
language : en
Publisher: Cambridge University Press
Release Date : 2002-02-07
Simplicity Inference And Modelling written by Arnold Zellner and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-07 with Business & Economics categories.
The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.
Critical Reflection
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Author : Malcolm Murray
language : en
Publisher: McGill-Queen's Press - MQUP
Release Date : 2005-04-26
Critical Reflection written by Malcolm Murray and has been published by McGill-Queen's Press - MQUP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-26 with Philosophy categories.
In an era of information overload, our need to learn how to critically evaluate the growing flood of information has never been greater. Critical Reflection showcases the role of reason in a world saturated by media-enhanced persuasion and complex scientific and technological jargon. Drawing from the classic philosophical texts, this engaging textbook on the art of analyzing arguments is also relevant to today's undergraduates in its use of real-life examples and exercises drawn mainly from media and politics. Malcolm Murray and Nebojsa Kujundzic cover the standard subjects in a one-semester course on critical thinking, offering ways to analyze arguments in the following areas: * language use * acceptability conditions for truth * categorical and propositional logic * induction * causal claims * probability reasoning * analogical reasoning * an in-depth analysis of informal fallacies Critical Reflection further distinguishes itself with in-depth answers to chapter exercises that are incorporated directly into the authors' detailed discussions. This is an ideal textbook to help professors foster autonomous thinking among their students.
God In The Age Of Science
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Author : Herman Philipse
language : en
Publisher: OUP Oxford
Release Date : 2012-02-23
God In The Age Of Science written by Herman Philipse and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-23 with Philosophy categories.
God in the Age of Science? is a critical examination of strategies for the philosophical defence of religious belief. The main options may be presented as the end nodes of a decision tree for religious believers. The faithful can interpret a creedal statement (e.g. 'God exists') either as a truth claim, or otherwise. If it is a truth claim, they can either be warranted to endorse it without evidence, or not. Finally, if evidence is needed, should its evidential support be assessed by the same logical criteria that we use in evaluating evidence in science, or not? Each of these options has been defended by prominent analytic philosophers of religion. In part I Herman Philipse assesses these options and argues that the most promising for believers who want to be justified in accepting their creed in our scientific age is the Bayesian cumulative case strategy developed by Richard Swinburne. Parts II and III are devoted to an in-depth analysis of this case for theism. Using a 'strategy of subsidiary arguments', Philipse concludes (1) that theism cannot be stated meaningfully; (2) that if theism were meaningful, it would have no predictive power concerning existing evidence, so that Bayesian arguments cannot get started; and (3) that if the Bayesian cumulative case strategy did work, one should conclude that atheism is more probable than theism. Philipse provides a careful, rigorous, and original critique of theism in the world today.
Predictive Modular Neural Networks
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Author : Vassilios Petridis
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-09-30
Predictive Modular Neural Networks written by Vassilios Petridis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-30 with Science categories.
The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is a considerable overlap (not always recognized) of ideas and methods between these fields. Modular neural networks come by many other names, for instance multiple models, local models and mixtures of experts. The basic idea is to independently develop several "subnetworks" (modules), which may perform the same or re lated tasks, and then use an "appropriate" method for combining the outputs of the subnetworks. Some of the expected advantages of this approach (when compared with the use of "lumped" or "monolithic" networks) are: superior performance, reduced development time and greater flexibility. For instance, if a module is removed from the network and replaced by a new module (which may perform the same task more efficiently), it should not be necessary to retrain the aggregate network.
Encyclopedia Of Computer Science And Technology
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Author : Allen Kent
language : en
Publisher: CRC Press
Release Date : 2021-07-29
Encyclopedia Of Computer Science And Technology written by Allen Kent and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-29 with Computers categories.
"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."
Model Free Prediction And Regression
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Author : Dimitris N. Politis
language : en
Publisher: Springer
Release Date : 2015-11-13
Model Free Prediction And Regression written by Dimitris N. Politis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-13 with Mathematics categories.
The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse settings such as regression and time series. Furthermore, the Model-Free Bootstrap takes us beyond point prediction in order to construct frequentist prediction intervals without resort to unrealistic assumptions such as normality. Prediction has been traditionally approached via a model-based paradigm, i.e., (a) fit a model to the data at hand, and (b) use the fitted model to extrapolate/predict future data. Due to both mathematical and computational constraints, 20th century statistical practice focused mostly on parametric models. Fortunately, with the advent of widely accessible powerful computing in the late 1970s, computer-intensive methods such as the bootstrap and cross-validation freed practitioners from the limitations of parametric models, and paved the way towards the `big data' era of the 21st century. Nonetheless, there is a further step one may take, i.e., going beyond even nonparametric models; this is where the Model-Free Prediction Principle is useful. Interestingly, being able to predict a response variable Y associated with a regressor variable X taking on any possible value seems to inadvertently also achieve the main goal of modeling, i.e., trying to describe how Y depends on X. Hence, as prediction can be treated as a by-product of model-fitting, key estimation problems can be addressed as a by-product of being able to perform prediction. In other words, a practitioner can use Model-Free Prediction ideas in order to additionally obtain point estimates and confidence intervals for relevant parameters leading to an alternative, transformation-based approach to statistical inference.
Women Culture And Development
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Author : Martha C. Nussbaum
language : en
Publisher: Clarendon Press
Release Date : 1995-11-30
Women Culture And Development written by Martha C. Nussbaum and has been published by Clarendon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-11-30 with Business & Economics categories.
This is an open access title available under the terms of a CC BY-NC-ND 3.0 IGO licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. BL Distinguished editors and contributors BL Addresses questions of some urgency for the question of women's quality of life BL Inter-disciplinary, ranging over philosophy, economics, political science, anthropology, law and sociology BL Combines theory with case-studies BL Accessible to non-specialist reader BL Sequel to The Quality of Life, edited by Martha Nussbaum and Amartya Sen, applying the 'capabilities' approach outlined in that volume BL Topical - challenges 'politically correct' relativist approaches and discusses the validity of charges of 'cultural imperialism' levelled at Western aid and intervention policies. Women, a majority of the world's population, receive only a small proportion of its opportunities and benefits. According to the 1993 UN Human Development Report, there is no country in the world in which women's quality of life is equal to that of men. This examination of women's quality of life thus addresses questions which have a particular urgency. It aims to describe the basic situation of all women and so develops a universal account that can answer the charges of 'Western imperialism' frequently made against such accounts. The contributors confront the issue of cultural relativism, criticizing the relativist approach which, in its desire to respect different cultural traditions, can result in indifference to injustice. An account of gender justice and women's equality is then proposed in various areas in which quality of life is measured. These issues are related throughout to the specific contexts of India, Bangladesh, China, Mexico, and Nigeria through a series of case studies. Disciplines represented include philosophy, economics, political science, anthropology, law, and sociology. Like its predecessor, The Quality of Life, this volume encourages the reader to think critically about the central fundamental concepts used in development economics and suggests major criticisms of current economic approaches from that fundamental viewpoint. Contributors: Martha Nussbaum, Marty Chen, Susan Wolf, Jonathan Glover, Onora O'Neill, David Crocker, Hilary Putnam, Linda Alcoff, Amartya Sen, Susan Moller Okin, Ruth Anna Putnam, Cass R.Sunstein, Christine M.Korsgaard, Catherine Lutz, Xiaorong Li, Margarita M.Valdes, Nkiru Nzegwu
Advanced Data Mining And Applications
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Author : Xue Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-07-12
Advanced Data Mining And Applications written by Xue Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-12 with Business & Economics categories.
This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2020-10-20
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.