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Author: Diane Setterfield
Publisher: Simon and Schuster
ISBN: 1476711992
Category : Fiction
Languages : en
Pages : 336
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Book Description
Killing a bird with his slingshot as a boy, William Bellman grows up a wealthy family man unaware of how his act of childhood cruelty will have terrible consequences until a wrenching tragedy compels him to enter into a macabre bargain with a stranger in black.
Author: Diane Setterfield
Publisher: Simon and Schuster
ISBN: 1476711992
Category : Fiction
Languages : en
Pages : 336
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Book Description
Killing a bird with his slingshot as a boy, William Bellman grows up a wealthy family man unaware of how his act of childhood cruelty will have terrible consequences until a wrenching tragedy compels him to enter into a macabre bargain with a stranger in black.
Author: Vasily Vasyunin
Publisher: Cambridge University Press
ISBN: 1108486894
Category : Mathematics
Languages : en
Pages : 465
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Book Description
A comprehensive reference on the Bellman function method and its applications to various topics in probability and harmonic analysis.
Author: Estelle Haan
Publisher: University of Pennsylvania Press
ISBN:
Category : Literary Criticism
Languages : en
Pages : 208
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Book Description
This book recuperates the Latin poetry of Vincent Bourne by exploring the poet’s unique techniques of self-fashioning that distinguish him from his neo-Latin forebears & contemporaries. Haan is the UK’s most eminent neo-Latinist. Through close & perceptive analysis of Bourne’s negotiation of poetic identity, Haan argues in new ways for the blend of classicism & Romanticism informing his marginalized status. She capitalizes on the familiarity with other 18th-cent. English poets about whom she has previously written (Cowper, Gray, & Addison) & she makes use of contemporary literary theory without becoming dependent on any single approach or disfiguring her writing with critical jargon. The connections with English-language poets that Haan adduces will be a very considerable resource for students of vernacular poetry.
Author:
Publisher:
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Category : Homosexuality
Languages : en
Pages : 656
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Book Description
"The Jesuit review of faith and culture," Nov. 13, 2017-
Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262039249
Category : Computers
Languages : en
Pages : 549
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Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Author: Matthew F. Dixon
Publisher: Springer Nature
ISBN: 3030410684
Category : Business & Economics
Languages : en
Pages : 565
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Book Description
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.
Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262033844
Category : Computers
Languages : en
Pages : 1314
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Book Description
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Author:
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ISBN:
Category :
Languages : en
Pages : 558
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Book Description
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Category : Storytelling
Languages : en
Pages : 618
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Book Description
Author: L. Museros
Publisher: IOS Press
ISBN: 1614994528
Category : Computers
Languages : en
Pages : 308
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Book Description
This book presents 34 original papers accepted for presentation at the 17th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2014), held in October 2014 in Barcelona, Spain. The Catalan Association for Artificial Intelligence (ACIA), was created in 1994 as a non-profit association to promote cooperation among researchers from the Catalan-speaking artificial intelligence research community. Conferences are now held annually throughout the Catalan-speaking countries. The papers in this volume have been organized around different topics, providing a representative sample of the current state-of-the-art in the Catalan artificial intelligence community and of the collaboration between ACIA members and the worldwide AI community. The book will be of interest to all those working in the field of artificial intelligence.
