Large-Scale Machine Learning in the Earth Sciences

Author: Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser

Publisher: CRC Press

ISBN: 1315354462

Category: Computers

Page: 208

View: 3972

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.

Feature Engineering for Machine Learning and Data Analytics

Author: Guozhu Dong,Huan Liu

Publisher: CRC Press

ISBN: 1351721275

Category: Business & Economics

Page: 400

View: 3620

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Author: Ashok N. Srivastava,Jiawei Han

Publisher: CRC Press

ISBN: 1439841799

Category: Computers

Page: 502

View: 5887

Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. With contributions from many top authorities on the subject, this volume is the first to bring together the two areas of machine learning and systems health management. Divided into three parts, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management. The first part of the text describes data-driven methods for anomaly detection, diagnosis, and prognosis of massive data streams and associated performance metrics. It also illustrates the analysis of text reports using novel machine learning approaches that help detect and discriminate between failure modes. The second part focuses on physics-based methods for diagnostics and prognostics, exploring how these methods adapt to observed data. It covers physics-based, data-driven, and hybrid approaches to studying damage propagation and prognostics in composite materials and solid rocket motors. The third part discusses the use of machine learning and physics-based approaches in distributed data centers, aircraft engines, and embedded real-time software systems. Reflecting the interdisciplinary nature of the field, this book shows how various machine learning and knowledge discovery techniques are used in the analysis of complex engineering systems. It emphasizes the importance of these techniques in managing the intricate interactions within and between the systems to maintain a high degree of reliability.

Leben 3.0

Mensch sein im Zeitalter Künstlicher Intelligenz

Author: Max Tegmark

Publisher: Ullstein Buchverlage

ISBN: 3843716706

Category: Social Science

Page: 528

View: 3074

Die Nobelpreis-Schmiede Massachusetts Institute of Technology ist der bedeutendste technologische Think Tank der USA. Dort arbeitet Professor Max Tegmark mit den weltweit führenden Entwicklern künstlicher Intelligenz zusammen, die ihm exklusive Einblicke in ihre Labors gewähren. Die Erkenntnisse, die er daraus zieht, sind atemberaubend und zutiefst verstörend zugleich. Neigt sich die Ära der Menschen dem Ende zu? Der Physikprofessor Max Tegmark zeigt anhand der neusten Forschung, was die Menschheit erwartet. Hier eine Auswahl möglicher Szenarien: - Eroberer: Künstliche Intelligenz übernimmt die Macht und entledigt sich der Menschheit mit Methoden, die wir noch nicht einmal verstehen. - Der versklavte Gott: Die Menschen bemächtigen sich einer superintelligenten künstlichen Intelligenz und nutzen sie, um Hochtechnologien herzustellen. - Umkehr: Der technologische Fortschritt wird radikal unterbunden und wir kehren zu einer prä-technologischen Gesellschaft im Stil der Amish zurück. - Selbstzerstörung: Superintelligenz wird nicht erreicht, weil sich die Menschheit vorher nuklear oder anders selbst vernichtet. - Egalitäres Utopia: Es gibt weder Superintelligenz noch Besitz, Menschen und kybernetische Organismen existieren friedlich nebeneinander. Max Tegmark bietet kluge und fundierte Zukunftsszenarien basierend auf seinen exklusiven Einblicken in die aktuelle Forschung zur künstlichen Intelligenz.

Das Ende der Arbeit und ihre Zukunft

Neue Konzepte für das 21. Jahrhundert

Author: Jeremy Rifkin

Publisher: Campus Verlag

ISBN: 3593400855

Category: Political Science

Page: 240

View: 9386

Die Arbeit hat sich im letzten Jahrzehnt weiter verändert. Bereits in 50 Jahren werden weniger als 10 Prozent der Bevölkerung ausreichen, um alle Güter und Dienstleistungen bereitzustellen. Die Konsequenzen für die sozialen Sicherungssysteme sind dramatisch, soziale Konlikte scheinen unvermeidlich. Dass "es nicht mehr genug Arbeit für alle geben wird" erkannte Jeremy Rifkin bereits in seinem Weltbesteller Das Ende der Arbeit - und seine Thesen sind heute aktueller denn je. In der Neuausgabe des in 16 Sprachen übersetzten Bestsellers entwickelt Rifkin seine radikalen Vorschläge weiter und zeigt mit gewohntem wirtschaftlichen und politischen Sachverstand, wie wir verhindern können, dass uns die Arbeit ausgeht. "Rifkins Buch wird uns noch lange beschäftigen." Süddeutsche Zeitung

Buddenbrooks-Handbuch

Author: Nicole Mattern,Stefan Neuhaus

Publisher: Springer-Verlag

ISBN: 3476046508

Category: Literary Criticism

Page: 312

View: 6871

"Buddenbrooks. Verfall einer Familie" (1901) legte den Grundstein für Thomas Manns außergewöhnliche Karriere als Schriftsteller und Repräsentant der deutschen Literatur und Kultur weltweit. Der Roman zählt nicht nur zu den nobelpreisgekrönten und meistgelesenen, sondern auch zu den meistinterpretierten Texten der deutschsprachigen Literatur. Das Handbuch bündelt die umfassende Forschung über den Roman und präsentiert neben der Entstehungs- und Rezeptionsgeschichte auch die zentralen Themen und Strukturen. Eingegangen wird nicht nur auf Familie, Ökonomie und Religion, sondern auch auf scheinbare Randthemen wie Essen und Trinken oder Elemente des Phantastischen. Zusätzlich eröffnet das Handbuch interpretatorische und literaturtheoretische Zugänge zum Text, von der Sozialgeschichte über Erinnerungs- und Gedächtnistheorien oder Weiblichkeits- und Männlichkeitskonstruktionen bis zur Wissenspoetologie.

Datenanalyse mit Python

Auswertung von Daten mit Pandas, NumPy und IPython

Author: Wes McKinney

Publisher: O'Reilly

ISBN: 3960102143

Category: Computers

Page: 542

View: 4099

Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.

Large-Scale Simulation

Models, Algorithms, and Applications

Author: Dan Chen,Lizhe Wang,Jingying Chen

Publisher: CRC Press

ISBN: 1439868964

Category: Computers

Page: 259

View: 8668

Large-Scale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors’ papers in top-tier, peer-reviewed, scientific conference proceedings and journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms—such as simulation cloning methods and algorithms—that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena. Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines.

Thinking Machines and the Philosophy of Computer Science

Concepts and Principles

Author: Jordi Vallverdú

Publisher: IGI Global

ISBN: 1616920149

Category: Computers

Page: 435

View: 5587

"This book offers a high interdisciplinary exchange of ideas pertaining to the philosophy of computer science, from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience experts and outlines new problems that arise with new tools"--Provided by publisher.

Immigrants in the Lands of Promise

Italians in Buenos Aires and New York City, 1870 - 1914

Author: Michael Adas

Publisher: Cornell University Press

ISBN: 0801455251

Category: History

Page: 452

View: 7324

Over the past five centuries, advances in Western understanding of and control over the material world have strongly influenced European responses to non-Western peoples and cultures. In Machines as the Measure of Men, Michael Adas explores the ways in which European perceptions of their scientific and technological superiority shaped their interactions with people overseas. Adopting a broad, comparative perspective, he analyzes European responses to the cultures of sub-Saharan Africa, India, and China, cultures that they judged to represent lower levels of material mastery and social organization. Beginning with the early decades of overseas expansion in the sixteenth century, Adas traces the impact of scientific and technological advances on European attitudes toward Asians and Africans and on their policies for dealing with colonized societies. He concentrates on British and French thinking in the nineteenth century, when, he maintains, scientific and technological measures of human worth played a critical role in shaping arguments for the notion of racial supremacy and the "civilizing mission" ideology which were used to justify Europe's domination of the globe. Finally, he examines the reasons why many Europeans grew dissatisfied with and even rejected this gauge of human worth after World War I, and explains why it has remained important to Americans. Showing how the scientific and industrial revolutions contributed to the development of European imperialist ideologies, Machines as the Measure of Men highlights the cultural factors that have nurtured disdain for non-Western accomplishments and value systems. It also indicates how these attitudes, in shaping policies that restricted the diffusion of scientific knowledge, have perpetuated themselves, and contributed significantly to chronic underdevelopment throughout the developing world. Adas's far-reaching and provocative book will be compelling reading for all who are concerned about the history of Western imperialism and its legacies. First published to wide acclaim in 1989, Machines as the Measure of Men is now available in a new edition that features a preface by the author that discusses how subsequent developments in gender and race studies, as well as global technology and politics, enter into conversation with his original arguments.

Menschheit 2.0

Die Singularität naht

Author: Ray Kurzweil

Publisher: Lola Books

ISBN: 3944203135

Category: Technology & Engineering

Page: 672

View: 6297

Das Jahr 2045 markiert einen historischen Meilenstein: Es ist das Jahr, in dem der Mensch seine biologischen Begrenzungen mithilfe der Technik überwinden wird. Diese als technologische Singularität bekannt gewordene Revolution wird die Menschheit für immer verändern. Googles Chefingenieur Ray Kurzweil, dessen wahnwitzigen Visionen in den vergangenen Jahrzehnten immer wieder genau ins Schwarze trafen, zeichnet in diesem Klassiker des Transhumanismus mit beispielloser Detailwut eine bunt schillernde Momentaufnahme der technischen Evolution und legt dar, weshalb diese so bald kein Ende finden, sondern im Gegenteil immer weiter an Dynamik gewinnen wird. Daraus ergibt sich eine ebenso faszinierende wie schockierende Vision für die Zukunft der Menschheit.

Large-Scale Visual Geo-Localization

Author: Amir R. Zamir,Asaad Hakeem,Luc Van Gool,Mubarak Shah,Richard Szeliski

Publisher: Springer

ISBN: 3319257811

Category: Computers

Page: 351

View: 3761

This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales; investigates geo-localization techniques that are built upon high-level and semantic cues; describes methods that perform precise localization by geometrically aligning the query image against a 3D model; reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings.

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Digital Earth and Smart Earth

Author: Nilanjan Dey,Chintan Bhatt,Amira S. Ashour

Publisher: Springer

ISBN: 3319899236

Category: Science

Page: 154

View: 3429

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.

Principles and Practice of Constraint Programming - CP 2009

15th International Conference, CP 2009 Lisbon, Portugal, September 20-24, 2009 Proceedings

Author: Ian P. Gent

Publisher: Springer Science & Business Media

ISBN: 3642042430

Category: Computers

Page: 844

View: 9767

This volume contains the papers presented at CP 2009: The 15th International Conference on Principles and Practice of Constraint Programming. It was held from September 20–24, 2009 at the Rectory of the New University of Lisbon, Portugal. Everyone involved with the conference thanks our sponsors for their support. There were 128 submissions to the research track, of which 53 were accepted for a rate of 41.4%. Each submission was reviewed by three reviewers, with a small number of additional reviews obtained in exceptional cases. Each review waseitherbyaProgrammeCommitteemember,orbyacolleagueinvitedtohelp by a committee member thanks to their particular expertise. Papers submitted as long papers were accepted at full length or not at all. It is important to note that papers submitted as short papers were held to the same high standards of qualityas long papers. There is thus no distinction in these proceedings between long and short papers, except of course the number of pages they occupy. As it happens, the acceptancerates of short and long papers wereverysimilar indeed. Therewere13submissionstotheapplicationtrack,ofwhich8wereaccepted, fora rateof61.5%.Papersunderwentthe samereviewprocessasregularpapers, and there was not a separate committee for reviewing application track papers. However, papers in the application track were not required to be original or novel research, but to be original and novel as an application of constraints.

High Performance Computing for Computational Science - VECPAR 2002

5th International Conference, Porto, Portugal, June 26-28, 2002. Selected Papers and Invited Talks

Author: VECPAR 2002

Publisher: Springer Science & Business Media

ISBN: 3540008527

Category: Computers

Page: 732

View: 3511

This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on High Performance Computing for Computational Science, VECPAR 2002, held in Porto, Portugal in June 2002. The 45 revised full papers presented together with 4 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on fluids and structures, data mining, computing in chemistry and biology, problem solving environments, computational linear and non-linear algebra, cluster computing, imaging, and software tools and environments.

Wie kleine Kinder schlau werden

selbständiges Lernen im Alltag

Author: John Caldwell Holt

Publisher: Beltz

ISBN: 9783407228550

Category:

Page: 232

View: 1402

Ausgehend von der Beobachtung des kindlichen Spielens erläutert der Autor, wie Kinder denken und lernen.

The Moon

Resources, Future Development and Settlement

Author: David Schrunk,Burton Sharpe,Bonnie L. Cooper,Madhu Thangavelu

Publisher: Springer Science & Business Media

ISBN: 9780387739823

Category: Science

Page: 261

View: 3260

This extraordinary book details how the Moon could be used as a springboard for Solar System exploration. It presents a realistic plan for placing and servicing telescopes on the Moon, and highlights the use of the Moon as a base for an early warning system from which to combat threats of near-Earth objects. A realistic vision of human development and settlement of the Moon over the next one hundred years is presented, and the author explains how global living standards for the Earth can be enhanced through the use of lunar-based generated solar power. From that beginning, the people of the Earth would evolve into a spacefaring civilisation.

Recent Advances in Parallel Virtual Machine and Message Passing Interface

9th European PVM/MPI User's Group Meeting Linz, Austria, September 29 - October 2, 2002, Proceedings

Author: Dieter Kranzlmüller,Peter Kacsuk,Jack Dongarra,Jens Volkert

Publisher: Springer Science & Business Media

ISBN: 3540442960

Category: Computers

Page: 462

View: 1231

This book constitutes the refereed proceedings of the 9th European PVM/MPI Users'Group Meeting held in Linz, Austria in September/October 2002. The 50 revised full papers presented together with abstracts of 11 invited contributions were carefully reviewed and selected. The papers are organized in topical sections on Corss Grid, Par Sim, application using MPI and PVM, parallel algorithms using message passing, programming tools for MPI and PVM, implementations of MPI and PVM, extensions of MPI and PVM, and performance analysis and optimization.