Foundations Of Vector Retrieval
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Foundations Of Vector Retrieval
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Author : Sebastian Bruch
language : en
Publisher: Springer Nature
Release Date : 2024-03-27
Foundations Of Vector Retrieval written by Sebastian Bruch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-27 with Computers categories.
This book presents the fundamentals of vector retrieval. To this end, it delves into important data structures and algorithms that have been successfully used to solve the vector retrieval problem efficiently and effectively. This monograph is divided into four parts. The first part introduces the problem of vector retrieval and formalizes the concepts involved. The second part delves into retrieval algorithms that help solve the vector retrieval problem efficiently and effectively. It includes a chapter each on brand-and-bound algorithms, locality sensitive hashing, graph algorithms, clustering, and sampling. Part three is devoted to vector compression and comprises chapters on quantization and sketching. Finally, the fourth part presents a review of background material in a series of appendices, summarizing relevant concepts from probability, concentration inequalities, and linear algebra. The book emphasizes the theoretical aspects of algorithms and presents related theorems and proofs. It is thus mainly written for researchers and graduate students in theoretical computer science and database and information systems who want to learn about the theoretical foundations of vector retrieval.
Foundations Of Intelligent Systems
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Author : Mohand-Said Hacid
language : en
Publisher: Springer
Release Date : 2003-08-02
Foundations Of Intelligent Systems written by Mohand-Said Hacid and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.
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.
Vector Database
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-16
Vector Database written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
"Vector Database" Vector Database is a comprehensive and authoritative guide to the cutting-edge world of high-dimensional search and retrieval. This book begins by grounding readers in the theoretical foundations—tracing the journey from traditional databases to the latest innovations in vector search, and unpacking the underlying mathematics, embedding methodologies, and the diverse modalities of data that vector databases support. Through crisp explanations and illustrative examples, it demystifies how vector representations power modern machine learning systems and unlock new capabilities for handling complex, unstructured information. A major focus of the book is on the practical engineering behind vector data: from algorithmic approaches (like approximate nearest neighbor search, advanced indexing structures, and hybrid queries) to the full lifecycle of data ingestion, transformation, versioning, and update management. Readers are guided through distributed architectures, sharding strategies, fault-tolerance, and cloud-native deployment patterns—arming practitioners with actionable insights into scaling, managing, and optimizing vector systems for enterprise-grade reliability and performance. Security, privacy, and compliance best practices are also rigorously addressed, ensuring readiness for production use in regulated environments. Finally, Vector Database explores the pivotal role of vector search within modern AI and analytics ecosystems. It covers seamless integration with machine learning pipelines, MLOps, developer tooling, and interoperability with traditional data stores. Advanced and forward-looking chapters discuss trillion-scale collections, operational observability, benchmarking, and the fusion of graph, symbolic, and vector paradigms. Whether you are a researcher, engineer, or technical leader, this volume is an essential resource for mastering the foundational principles and practical tools shaping the future of intelligent data retrieval.
Mathematical Foundations Of Information Retrieval
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Author : S. Dominich
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Mathematical Foundations Of Information Retrieval written by S. Dominich 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 2012-12-06 with Computers categories.
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.
Mining For Strategic Competitive Intelligence
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Author : Cai-Nicolas Ziegler
language : en
Publisher: Springer
Release Date : 2012-03-06
Mining For Strategic Competitive Intelligence written by Cai-Nicolas Ziegler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-06 with Technology & Engineering categories.
The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application scenario, namely the gathering of knowledge that appears of paramount importance to organizations, e.g., companies and corporations. To this end, the book first summarizes the range of research disciplines that contribute to addressing the issue, extracting from each those grains that are of utmost relevance to the depicted application scope. Moreover, the book presents systems that put these techniques to practical use (e.g., reputation monitoring platforms) and takes an inductive approach to define the gestalt of mining for competitive strategic intelligence by selecting major use cases that are laid out and explained in detail. These pieces form the first part of the book. Each of those use cases is backed by a number of research papers, some of which are contained in its largely original version in the second part of the monograph.
Foundations Of Intelligent Systems
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Author : Zbigniew W. Ras
language : en
Publisher: Springer
Release Date : 2003-07-31
Foundations Of Intelligent Systems written by Zbigniew W. Ras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.
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.
Introduction To Information Retrieval
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Author : Christopher D. Manning
language : en
Publisher: Cambridge University Press
Release Date : 2008-07-07
Introduction To Information Retrieval written by Christopher D. Manning 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 2008-07-07 with Computers categories.
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.
Theoretical Foundations For Digital Libraries
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Author : Edward Fox
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Theoretical Foundations For Digital Libraries written by Edward Fox and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
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
Bert Foundations And Applications
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01
Bert Foundations And Applications written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Computers categories.
"BERT Foundations and Applications" "BERT Foundations and Applications" is an authoritative guide that illuminates the full landscape of BERT, the groundbreaking language representation model that has revolutionized natural language processing. Beginning with a deep dive into the historical evolution of language models, the book unpacks the core concepts of transformers, the distinctive architecture of BERT, and the intricate mechanisms that make it uniquely powerful for understanding language. Readers are introduced to BERT’s pre-training objectives, detailed architectural components, and the role of embeddings, attention, and normalization in forging contextual representations. Moving beyond theory, the book provides a comprehensive exploration of practical engineering across the BERT lifecycle. It covers the art and science of large-scale pre-training, including corpus construction, algorithmic optimizations, distributed training, and leveraging cutting-edge GPU/TPU hardware. Practical deployment is addressed in depth—from model serving architectures and hardware acceleration to monitoring, A/B testing, privacy, and security, ensuring robust real-world integration. Fine-tuning strategies for a wealth of downstream tasks—ranging from classification and sequence labeling to reading comprehension and summarization—are meticulously discussed, as are approaches for handling challenging domain-specific and noisy datasets. The text closes with an incisive examination of BERT’s variants, advanced applications, and emerging research frontiers. Readers gain insights into distilled and multilingual models, multimodal extensions, and domain-specialized adaptations. Crucially, the work addresses vital concerns of interpretability, fairness, and ethics, presenting methods for detecting and mitigating bias, adversarial robustness, and regulatory explainability. Looking forward, the final chapters chart future directions and open research problems, making this book an essential resource for practitioners and researchers seeking to master BERT and shape the next generation of intelligent language models.
Foundations Of Intelligent Systems
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Author : Floriana Esposito
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-22
Foundations Of Intelligent Systems written by Floriana Esposito 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 2006-09-22 with Computers categories.
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.