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Author : Sebastian Bruch
Publisher : Springer Nature
ISBN 13 : 3031551826
Total Pages : 196 pages
Book Rating : 4.0/5 (315 download)
Download or read book Foundations of Vector Retrieval written by Sebastian Bruch and published by Springer Nature. This book was released on 2024 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stefan Buttcher
Publisher : MIT Press
ISBN 13 : 0262528878
Total Pages : 633 pages
Book Rating : 4.2/5 (625 download)
Download or read book Information Retrieval written by Stefan Buttcher and published by MIT Press. This book was released on 2016-02-12 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation. Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus—a multiuser open-source information retrieval system developed by one of the authors and available online—provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.
Author : Christopher D. Manning
Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.1/5 (394 download)
Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author : Bhaskar Mitra
Publisher : Foundations and Trends (R) in Information Retrieval
ISBN 13 : 9781680835328
Total Pages : 142 pages
Book Rating : 4.8/5 (353 download)
Download or read book An Introduction to Neural Information Retrieval written by Bhaskar Mitra and published by Foundations and Trends (R) in Information Retrieval. This book was released on 2018-12-23 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.
Author : Zbigniew W. Ras
Publisher : Springer
ISBN 13 : 3540399631
Total Pages : 658 pages
Book Rating : 4.5/5 (43 download)
Download or read book Foundations of Intelligent Systems written by Zbigniew W. Ras and published by Springer. This book was released on 2003-07-31 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of Testing ExperimentsConclusion; Acknowledgments; References; Can Relational Learning Scale Up?; Introduction; Phase Transition in Hypothesis Testing; Experiment Goal and Setting; Results; Interpretation; The Phase Transition Is an Attractor; Correct Identification of the Target Concept; Good Approximation of the Target Concept; Conclusion; References; Discovering Geographic Knowledge: The INGENS System; Introduction; INGENS Software Architecture and Object Data Model; Learning Classification Rules for Geographical Objects; Application to Apulian Map Interpretation.
Author : Alexey Nekrasov
Publisher : Springer Science & Business Media
ISBN 13 : 3319006215
Total Pages : 106 pages
Book Rating : 4.3/5 (19 download)
Download or read book Foundations for Innovative Application of Airborne Radars written by Alexey Nekrasov and published by Springer Science & Business Media. This book was released on 2013-10-09 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ‘wind vector’ – wind speed and direction – is a main meteorological quantity and relevant for air-sea exchange processes. This book explores the use of several airborne microwave instruments, some of which are part of standard aircraft equipment, in determining the local wind vector over water. This is worthwhile as local wind information is usually only available at measurements sites like weather stations and airports, and global wind information from satellites has very coarse resolution and poor temporal coverage – at most a few times daily. In his book, Nekrasov uses known results in a novel way and gives explicit and application-oriented descriptions how to additionally retrieve local wind information from standard airborne microwave instruments. The results presented here are highly valuable for flight operation above the sea (e.g., search-and-rescue) but also for complementing other measurements of atmospheric or oceanic parameters during research flights.
Author : Mohand-Said Hacid
Publisher : Springer
ISBN 13 : 3540480501
Total Pages : 626 pages
Book Rating : 4.5/5 (44 download)
Download or read book Foundations of Intelligent Systems written by Mohand-Said Hacid and published by Springer. This book was released on 2003-08-02 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Symposium on Methodologies for Intelligent Systems, ISMIS 2002, held in Lyon, France, in June 2002. The 63 revised full papers presented were carefully reviewed and selected from around 160 submissions. The book offers topical sections on learning and knowledge discovery, intelligent user interfaces and ontologies, logic for AI, knowledge representation and reasoning, intelligent information retrieval, soft computing, intelligent information systems, and methodologies.
Author : Sándor Dominich
Publisher : Springer Science & Business Media
ISBN 13 : 3540776591
Total Pages : 333 pages
Book Rating : 4.5/5 (47 download)
Download or read book The Modern Algebra of Information Retrieval written by Sándor Dominich and published by Springer Science & Business Media. This book was released on 2008-04-03 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a unique approach to information retrieval by laying down the foundations for a modern algebra of information retrieval based on lattice theory. All major retrieval methods developed so far are described in detail, along with Web retrieval algorithms, and the author shows that they all can be treated elegantly in a unified formal way, using lattice theory as the one basic concept. The book’s presentation is characterized by an engineering-like approach.
Author : S. Dominich
Publisher : Springer Science & Business Media
ISBN 13 : 9401007527
Total Pages : 300 pages
Book Rating : 4.4/5 (1 download)
Download or read book Mathematical Foundations of Information Retrieval written by S. Dominich and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and consistent mathematical approach to information retrieval (IR) without which no implementation is possible, and sheds an entirely new light upon the structure of IR models. It contains the descriptions of all IR models in a unified formal style and language, along with examples for each, thus offering a comprehensive overview of them. The book also creates mathematical foundations and a consistent mathematical theory (including all mathematical results achieved so far) of IR as a stand-alone mathematical discipline, which thus can be read and taught independently. Also, the book contains all necessary mathematical knowledge on which IR relies, to help the reader avoid searching different sources. Audience: The book will be of interest to computer or information scientists, librarians, mathematicians, undergraduate students and researchers whose work involves information retrieval.
Author : Edward Fox
Publisher : Springer Nature
ISBN 13 : 3031022793
Total Pages : 158 pages
Book Rating : 4.0/5 (31 download)
Download or read book Theoretical Foundations for Digital Libraries written by Edward Fox and published by Springer Nature. This book was released on 2022-06-01 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1991, a group of researchers chose the term digital libraries to describe an emerging field of research, development, and practice. Since then, Virginia Tech has had funded research in this area, largely through its Digital Library Research Laboratory. This book is the first in a four book series that reports our key findings and current research investigations. Underlying this book series are six completed dissertations (Gonçalves, Kozievitch, Leidig, Murthy, Shen, Torres), eight dissertations underway, and many masters theses. These reflect our experience with a long string of prototype or production systems developed in the lab, such as CITIDEL, CODER, CTRnet, Ensemble, ETANA, ETD-db, MARIAN, and Open Digital Libraries. There are hundreds of related publications, presentations, tutorials, and reports. We have built upon that work so this book, and the others in the series, will address digital library related needs in many computer science, information science, and library science (e.g., LIS) courses, as well as the requirements of researchers, developers, and practitioners. Much of the early work in the digital library field struck a balance between addressing real-world needs, integrating methods from related areas, and advancing an ever-expanding research agenda. Our work has fit in with these trends, but simultaneously has been driven by a desire to provide a firm conceptual and formal basis for the field.Our aim has been to move from engineering to science. We claim that our 5S (Societies, Scenarios, Spaces, Structures, Streams) framework, discussed in publications dating back to at least 1998, provides a suitable basis. This book introduces 5S, and the key theoretical and formal aspects of the 5S framework. While the 5S framework may be used to describe many types of information systems, and is likely to have even broader utility and appeal, we focus here on digital libraries. Our view of digital libraries is broad, so further generalization should be straightforward. We have connected with related fields, including hypertext/hypermedia, information storage and retrieval, knowledge management, machine learning, multimedia, personal information management, and Web 2.0. Applications have included managing not only publications, but also archaeological information, educational resources, fish images, scientific datasets, and scientific experiments/ simulations. Table of Contents: Introduction / Exploration / Mathematical Preliminaries / Minimal Digital Library / Archaeological Digital Libraries / 5S Results: Lemmas, Proofs, and 5SSuite / Glossary / Bibliography / Authors' Biographies / Index
Author : Floriana Esposito
Publisher : Springer
ISBN 13 : 3540457666
Total Pages : 783 pages
Book Rating : 4.5/5 (44 download)
Download or read book Foundations of Intelligent Systems written by Floriana Esposito and published by Springer. This book was released on 2006-09-28 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006. The book presents 81 revised papers together with 3 invited papers. Topical sections include active media human-computer interaction, computational intelligence, intelligent agent technology, intelligent information retrieval, intelligent information systems, knowledge representation and integration, knowledge discovery and data mining, logic for AI and logic programming, machine learning, text mining, and Web intelligence.
Author : Tsau Young Lin
Publisher : Springer Science & Business Media
ISBN 13 : 9783540262572
Total Pages : 400 pages
Book Rating : 4.2/5 (625 download)
Download or read book Foundations of Data Mining and Knowledge Discovery written by Tsau Young Lin and published by Springer Science & Business Media. This book was released on 2005-09-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.
Author : Ramesh R. Sarukkai
Publisher : Springer Science & Business Media
ISBN 13 : 1461511356
Total Pages : 298 pages
Book Rating : 4.4/5 (615 download)
Download or read book Foundations of Web Technology written by Ramesh R. Sarukkai and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Web Technology covers the basics of Web technology while being specialized enough to add value to experienced professionals working in this field. Most books on the Web focus on programmatic aspects of languages such as Java, JavaScript, or description of standards such as Hypertext Markup Language (HTML) or Wireless Markup Language (WML). A book that covers the concepts behind the infrastructure of the Web would be indispensable to a wide range of audiences interested in learning how the Web works, how techniques in Web technology can be applied to their own problem, and what the emergent technological trends in these areas are.
Author : James S. Nairne
Publisher : Psychology Press
ISBN 13 : 1136872205
Total Pages : 561 pages
Book Rating : 4.1/5 (368 download)
Download or read book The Foundations of Remembering written by James S. Nairne and published by Psychology Press. This book was released on 2011-12-06 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Foundations of Remembering presents a collection of essays written by top memory scholars in honor of Henry L. Roediger III. The chapters were originally delivered as part of the "Roddyfest" conference held in March 2005 to celebrate Purdue University's awarding of an honorary doctor of letters to Roediger in recognition of his many contributions to the field of psychology. Authors were given a simple charge: choose your own topic, but place your work in historical context. Roediger is fascinated by the intellectual lineage of ideas, so addressing historical "foundations" seemed a fitting tribute. The Chapters contained in this volume help to establish the foundations of remembering, circa the first decade of the 21st century, as perceived by some of the leading memory researchers in the world. Not surprisingly, each of the chapters touches on Roediger's research as well, largely because his work has helped to define and clarify many topics of interest to the memory field. The Foundations of Remembering is intended for a wide audience: students, scholars, and anyone interested in exploring the historical and conceptual roots of modern memory theory.
Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3642010873
Total Pages : 395 pages
Book Rating : 4.6/5 (42 download)
Download or read book Foundations of Computational Intelligence written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this increase is even steeper. Databases storing DNA sequence, for example, are doubling their size every 10 months. This growth is occurring in several applications areas besides bioinformatics, like financial transactions, government data, environmental mo- toring, satellite and medical images, security data and web. As large organizations recognize the high value of data stored in their databases and the importance of their data collection to support decision-making, there is a clear demand for - phisticated Data Mining tools. Data mining tools play a key role in the extraction of useful knowledge from databases. They can be used either to confirm a parti- lar hypothesis or to automatically find patterns. In the second case, which is - lated to this book, the goal may be either to describe the main patterns present in dataset, what is known as descriptive Data Mining or to find patterns able to p- dict behaviour of specific attributes or features, known as predictive Data Mining. While the first goal is associated with tasks like clustering, summarization and association, the second is found in classification and regression problems.
Author : Carlos Rodriguez
Publisher : Packt Publishing Ltd
ISBN 13 : 1835464912
Total Pages : 190 pages
Book Rating : 4.8/5 (354 download)
Download or read book Generative AI Foundations in Python written by Carlos Rodriguez and published by Packt Publishing Ltd. This book was released on 2024-07-26 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.What you will learn Discover the fundamentals of GenAI and its foundations in NLP Dissect foundational generative architectures including GANs, transformers, and diffusion models Find out how to fine-tune LLMs for specific NLP tasks Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs Who this book is for This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.
Author : C. J. van Rijsbergen
Publisher : Cambridge University Press
ISBN 13 : 9780521838054
Total Pages : 178 pages
Book Rating : 4.8/5 (38 download)
Download or read book The Geometry of Information Retrieval written by C. J. van Rijsbergen and published by Cambridge University Press. This book was released on 2004-08-12 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important work on a new framework for information retrieval: implications for artificial intelligence, natural language processing.
