Thema Maschinelles Lernen – alle Bücher, Seite 5

Nada Lavra¿, Bojan Cestnik, Andrej Kastrin
Bisociative Literature-Based Discovery

This monograph introduces the field of bisociative literature-based discovery (LBD) by first explaining the underlying LBD principles and techniques, followed by the presentation of bisociative LBD techni…

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Tho Le-Ngoc, Mohammadmahdi Ghadaksaz, Mobeen Mahmood
AI-Enabled UAV-Assisted Massive MIMO

Wireless Networks

The authors explore various Unmanned Aerial Vehicle (UAV)-assisted massive Multiple-Input and Multiple-Output (MIMO) relaying systems designed for 5G-and-Beyond wireless networks. This book also addresses…

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Raymond Lee
Natural Language Processing

This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Langu…

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Yee Leung
Digital Twins of Cities

As cities evolve at unprecedented speed and scale, traditional digital twins---virtual models of physical urban systems---fall short in capturing the dynamic and complex nature of urban life. This book br…

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Simon Liu
AI and Machine Learning for E-Commerce Risk Management

Transactions on Computer Systems and Networks

This book presents a practical, end-to-end approach to risk management in modern e-commerce platforms using machine learning. It covers buyer abuse, seller governance, collusion networks, and payment and …

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Zhen "Leo" Liu
Artificial Intelligence for Engineers

This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate stu…

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Gang Liu, Eric Inae, Meng Jiang
Deep Learning for Polymer Discovery

Synthesis Lectures on Data Mining and Knowledge Discovery

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges…

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Pedro A. López-García, Denisse L. Argote
Determining Provenance from Compositional Data

Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing…

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Pedro A. López-García, Denisse L. Argote
Determining Provenance from Compositional Data

Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing…

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Sidi Lu, Weisong Shi
Vehicle Computing

Over the past century, vehicles have predominantly functioned as a means of transportation. However, as vehicular computation and communication capacities continue to expand, it is anticipated that upcomi…

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George F. Luger
Artificial Intelligence: Principles and Practice

This book provides a complete introduction to Artificial Intelligence, covering foundational computational technologies, mathematical principles, philosophical considerations, and engineering disciplines …

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He Luo, Xiaoxuan Hu, Guoqiang Wang, Yingying Ma
Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets

SpringerBriefs in Optimization

This book provides the current research on optimization methods for cooperative task allocation problems in drone fleets. Drone fleets, with their advantages of low cost, small size, and strong maneuverab…

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Sarit Maitra
Non-Linearity in Econometric Modeling, Vol. 1

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensi…

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Stefano De Marchi, Francesco Marchetti, Emma Perracchione
Kernel-Based Methods

Kernel methods, with origins in the pioneering work of Mercer (1909), Bochner (1933), and Aronszajn (1950), have become central tools in modern mathematics and machine learning. This book explores their d…

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Sean Meyn
Control Systems and Reinforcement Learning

"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book …

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Rudy Milani
Advanced Automation for Comprehensible Causal Explanations of Reinforcement Learning Agents

This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents. The system addre…

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Harshit Mishra, Sucheta Soundarajan
Addressing Bias in Information Retrieval

SpringerBriefs in Intelligent Systems

Online search engines are an essential tool for seeking information, but results returned from these search engines can contain undesirable forms of bias with respect to protected attributes such as gende…

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Laurence Moroney,
PyTorch für KI und ML

Animals

PyTorch kompetent nutzen, KI-Modelle erfolgreich bauenEin praxis- und codeorientierter Guide für Python-Entwickler*innenAnwendungen mit KI und ML entwickeln, ohne fortgeschrittene Mathematik- oder Theorie…

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Laura Mostert, Roy Lindelauf, Chiara Pulice, Marnix Provoost
Machine Learning Techniques to Predict Terrorist Attacks

Terrorism, Security, and Computation

One of the most influential actors in spreading Islamist violence across the Sahel is Jama'at Nasr Al Islam Wal Muslimin (JNIM).This book provides the first systematic quantitative analysis of JNIM's beha…

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John Paul Mueller, Luca Massaron
Machine Learning For Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

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