Sebastian Thrun's Books

Probabilistic Robotics

By: Sebastian Thrun,Wolfram Burgard,Dieter Fox

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Probabilistic Robotics

By: Sebastian Thrun,Wolfram Burgard,Dieter Fox

An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

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Page Count

668

Publisher

MIT Press

Published Date

ISBN 10

0262201623

ISBN 13

9780262201629

Explanation-Based Neural Network Learning

A Lifelong Learning Approach

By: Sebastian Thrun

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Explanation-Based Neural Network Learning

A Lifelong Learning Approach

By: Sebastian Thrun

Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess. `The paradigm of lifelong learning - using earlier learned knowledge to improve subsequent learning - is a promising direction for a new generation of machine learning algorithms. Given the need for more accurate learning methods, it is difficult to imagine a future for machine learning that does not include this paradigm.' From the Foreword by Tom M. Mitchell.

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Page Count

274

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461313813

ISBN 13

9781461313816

Probabilistic Robotics

By: Sebastian Thrun,Wolfram Burgard,Dieter Fox

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Probabilistic Robotics

By: Sebastian Thrun,Wolfram Burgard,Dieter Fox

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668

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MIT Press

Published Date

ISBN 10

0262303809

ISBN 13

9780262303804

FastSLAM

A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

By: Michael Montemerlo,Sebastian Thrun

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FastSLAM

A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

By: Michael Montemerlo,Sebastian Thrun

This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.

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Page Count

129

Publisher

Springer

Published Date

ISBN 10

3540464026

ISBN 13

9783540464020

The Secret Scripture

A Novel

By: Sebastian Barry

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The Secret Scripture

A Novel

By: Sebastian Barry

Now a major motion picture starring Rooney Mara An epic story of family, love, and unavoidable tragedy from the two-time Booker Prize finalist and author of Old God's Time Sebastian Barry's novels have been hugely admired by readers and critics, and in 2005 his novel A Long Long Way was shortlisted for the Man Booker Prize. In The Secret Scripture, Barry revisits County Sligo, Ireland, the setting for his previous three books, to tell the unforgettable story of Roseanne McNulty. Once one of the most beguiling women in Sligo, she is now a resident of Roscommon Regional Mental Hospital and nearing her hundredth year. Set against an Ireland besieged by conflict, The Secret Scripture is an engrossing tale of one woman's life, and a poignant story of the cruelties of civil war and corrupted power. The Secret Scripture is now a film starring Rooney Mara, Eric Bana, and Vanessa Redgrave.

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Page Count

324

Publisher

Penguin

Published Date

ISBN 10

1101202920

ISBN 13

9781101202920

Andersen's English

By: Sebastian Barry

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Andersen's English

By: Sebastian Barry

Celebrated children's writer Hans Christian Andersen arrives, unannounced, for a stay at Gad's Hill Place in the Kent marshes - home to Charles Dickens and his large, charismatic family. To the lonely and eccentric guest, the members of Dickens' household seem to live a life of unreachable bliss. But with his broken English, Andersen doesn't at first see the storms brewing within the family: undeclared passions, a son about to go to India, and a growing strangeness at the heart of Dickens' marriage. Andersen's English by Sebastian Barry premiered at the Theatre Royal, Bury, in February 2010 in a production by Out of Joint.

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Faber & Faber

Published Date

ISBN 10

0571319270

ISBN 13

9780571319275

Days Without End

A Novel

By: Sebastian Barry

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Days Without End

A Novel

By: Sebastian Barry

COSTA BOOK OF THE YEAR AWARD WINNER LONGLISTED FOR THE 2017 MAN BOOKER PRIZE "A true leftfield wonder: Days Without End is a violent, superbly lyrical western offering a sweeping vision of America in the making."—Kazuo Ishiguro, Booker Prize winning author of The Remains of the Day and The Buried Giant From the two-time Man Booker Prize finalist Sebastian Barry, “a master storyteller” (Wall Street Journal), comes a powerful new novel of duty and family set against the American Indian and Civil Wars Thomas McNulty, aged barely seventeen and having fled the Great Famine in Ireland, signs up for the U.S. Army in the 1850s. With his brother in arms, John Cole, Thomas goes on to fight in the Indian Wars—against the Sioux and the Yurok—and, ultimately, the Civil War. Orphans of terrible hardships themselves, the men find these days to be vivid and alive, despite the horrors they see and are complicit in. Moving from the plains of Wyoming to Tennessee, Sebastian Barry’s latest work is a masterpiece of atmosphere and language. An intensely poignant story of two men and the makeshift family they create with a young Sioux girl, Winona, Days Without End is a fresh and haunting portrait of the most fateful years in American history and is a novel never to be forgotten.

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274

Publisher

Penguin

Published Date

ISBN 10

0698168631

ISBN 13

9780698168633

On Blueberry Hill

By: Sebastian Barry

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On Blueberry Hill

By: Sebastian Barry

Now we've lived together in contentment, more or less, for nigh on twenty year. Like turtle doves. - In prison, I mean, for fuck's sake, the chances of that.PJ and Christy: sworn enemies destined to share one small room for twenty years. As the two men recall the joys and torments of life outside - the childhood excursions, a deadly brawl, past loves and summer dresses - slowly they uncover the tragic events that have lead them to their cell in Montjoy. A play that explores our capacity to commit the deadliest of crimes but also our capacity for survival, reconciliation and love, ON BLUEBERRY HILL by Sebastian Barry (twice winner of the Costa Book of the Year) premiered in a Fishamble production at the Pavilion Theatre as part of the Dublin Theatre Festival and at the Centre Culturel Irlandais in Paris in October 2017.

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Faber & Faber

Published Date

ISBN 10

0571342930

ISBN 13

9780571342938

Elastic Shape Analysis of Three-Dimensional Objects

By: Ian H. Jermyn,Sebastian Kurtek,Hamid Laga,Anuj Srivastava

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Elastic Shape Analysis of Three-Dimensional Objects

By: Ian H. Jermyn,Sebastian Kurtek,Hamid Laga,Anuj Srivastava

Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations. We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important strength of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape-preserving transformations. The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L2 metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities. These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis. This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.

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Page Count

169

Publisher

Springer Nature

Published Date

ISBN 10

3031018192

ISBN 13

9783031018190

Python Machine Learning

By: Sebastian Raschka,Vahid Mirjalili

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Python Machine Learning

By: Sebastian Raschka,Vahid Mirjalili

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world. If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn. Style and Approach Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.

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Page Count

623

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1787126021

ISBN 13

9781787126022

FastSLAM

A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

By: Michael Montemerlo,Sebastian Thrun

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FastSLAM

A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

By: Michael Montemerlo,Sebastian Thrun

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Page Count

129

Publisher

Springer

Published Date

ISBN 10

3540464026

ISBN 13

9783540464020

Robotics Research

Results of the 12th International Symposium ISRR

By: Sebastian Thrun,Rodney A. Brooks,Hugh Durrant-Whyte

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Robotics Research

Results of the 12th International Symposium ISRR

By: Sebastian Thrun,Rodney A. Brooks,Hugh Durrant-Whyte

This volume contains 50 papers presented at the 12th International Symposium of Robotics Research, which took place October 2005 in San Francisco, CA. Coverage includes: physical human-robot interaction, humanoids, mechanisms and design, simultaneous localization and mapping, field robots, robotic vision, robot design and control, underwater robotics, learning and adaptive behavior, networked robotics, and interfaces and interaction.

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Page Count

582

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540481109

ISBN 13

9783540481102

Book's by Sebastian Thrun

Probabilistic Robotics

Probabilistic Robotics

Explanation-Based Neural Network Learning

Explanation-Based Neural Network Learning

Probabilistic Robotics

Probabilistic Robotics

FastSLAM

FastSLAM

The Secret Scripture

The Secret Scripture

Andersen's English

Andersen's English

Days Without End

Days Without End

On Blueberry Hill

On Blueberry Hill

Elastic Shape Analysis of Three-Dimensional Objects

Elastic Shape Analysis of Three-Dimensional Objects

Python Machine Learning

Python Machine Learning

FastSLAM

FastSLAM

Robotics Research

Robotics Research

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