Mathematics For Classical Information Retrieval Roots And Applications


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Mathematics for Classical Information Retrieval: Roots and Applications


Mathematics for Classical Information Retrieval: Roots and Applications

Author: Dariush Alimohammadi

language: en

Publisher: Lulu.com

Release Date: 2010-06-01


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This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). It looks at these topics through their mathematical roots. The mathematical bases of CIR are briefly reviewed, followed by the most important and interesting models of CIR, including Boolean, Vector Space, and Probabilistic. The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases. This book can be helpful for LIS students who are studying IR but have no knowledge of mathematics. Weakness in math impairs the ability to understand current issues in IR. While LIS students are the main target of this book, it may be of interest to computer science and communications students as well.

Pattern Recognition and Image Analysis


Pattern Recognition and Image Analysis

Author: Nuno Gonçalves

language: en

Publisher: Springer Nature

Release Date: 2025-07-28


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The two volume set LNCS 15937 + 15938 constitutes the proceedings of the 12th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2025, which took place in Coimbra, Portugal, during June 30–July 3, 2025. The 67 full papers included in the proceedings were carefully reviewed and selected from 115 submissions. They were organized in topical sections as follows: Part I: Computer vision; faces, body, fingerprints and biometrics; machine and deep learning; explainability, bias and fairness in DL; Part II: Natural language processing; biomedical applications; and other applications.

Proceedings of the Fifth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-24)


Proceedings of the Fifth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-24)

Author: Biswadip Basu Mallik

language: en

Publisher: Springer Nature

Release Date: 2024-10-31


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The Proceedings of the Fifth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-24) contains papers that present the current scientific as well as technological innovations by leading academicians, eminent researchers, and experts throughout the globe in the twin domain of Mathematical Sciences as well as Computing. The papers focus on the recent advances in the field of Theoretical Computer Science as well as its blending with Mathematical techniques. The book aims to disseminate new technical ideas and features that can be incorporated in day-to-day life for the benefit of the society. The research papers exhibit scientific advancements in diversified spectrum that includes Differential as well as Integral Equations with applications, Computational Fluid Dynamics, Nanofluids, Network Theory & Optimization, Control Theory, Machine Learning & Artificial Intelligence, Big Data Analytics, IoT, Cryptography, Fuzzy Automata, Statistics, and many more. The proceedings primarily focus on the amalgamation of mathematical methods with computing. The potential readers will get access to diverse ideas and innovations in the field of computing together with its growing interactions in various fields of mathematics. This book serves as a valuable reference resource for researchers in academia and industry.