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Positioning and Navigation Using Machine Learning Methods - Kegen Yu

Posted By: Maroutan

Date: 18 Sep 2024 23:59:20

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs, and LEO satellites. Most of the major machine learning methods are utilized, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book presents both fundamentals and in-depth studies as well as practical examples in positioning and navigation. Extensive data processing and experimental results are provided in the major chapters through conducting experimental campaigns or using in-situ measurements.

Positioning and navigation Machine learning deep learning reinforcement learning vehicle positioning

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Computer Vision – ECCV 2020 (Repost)

Posted By: AvaxGenius

Date: 27 Jan 2024 23:29:30

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX by Andrea Vedaldi
English | PDF | 2020 | 839 Pages | ISBN : 3030585646 | 140.2 MB

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic.

Development Computer Vision neural networks reinforcement learning Mathematics Neural Network Databases Algorithms Patterns Programming artificial intelligence object recognition Technology Communication machine learning Engineering

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Artificial General Intelligence

Posted By: AvaxGenius

Date: 20 Apr 2023 14:28:41

This book constitutes the refereed proceedings of the 15th International Conference on Artificial General Intelligence, AGI 2022, held as a hybrid event in Seattle, WA, USA, in August 2022.
The 31 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more. Additionally, this volume contains 13 posters.

Development artificial intelligence autonomous agents cognitive systems computer systems computer programming computer networks mathematics machine learning reinforcement learning software design Artificial Intelligence Computer Engineering Networks Software Engineering AGI Artificial General Intelligence

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Monte Carlo Search

Posted By: AvaxGenius

Date: 13 Jun 2022 10:09:15

The 9 full papers of the specialized project were carefully reviewed and selected from 15 submissions. The following topics are covered in the contributions: discrete mathematics in computer science, games, optimization, search algorithms, Monte Carlo methods, neural networks, reinforcement learning, machine learning.

Science computer science games optimization search algorithms Monte Carlo methods neural networks reinforcement learning genetic algorithms artificial intelligence Mathematics discrete mathematics adaptive algorithms machine learning interactive computer graphics Monte Carlo Development

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Proceedings of International Conference on Computational Intelligence: ICCI 2020

Posted By: AvaxGenius

Date: 22 Feb 2022 14:40:01

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12–13 December, 2020. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning.

Science artificial intelligence neural network deep learning techniques fuzzy theory systems rough sets self-organizing maps machine learning chaotic systems multi-agent systems computational optimization ensemble classifiers reinforcement learning decision trees support vector machines hybrid learning statistical learning. metaheuristics algorithms genetic algorithms genetic programming differential evolution particle swarm optimization whale optimization spider monkey optimization firefly algorithm memetic algorithms machine vision Internet of Things image processing image segmentation data clustering sentiment analysis big data computer networks signal processing supply chain management web mining text mining distributed systems bioinformatics embedded systems expert system forecasting pattern recognition planning and scheduling time series analysis human-computer interaction natural language processing multimedia systems quantum computing Computational Intelligence Machine Learning Evolutionary Algorithms Artificial Neural Network Fuzzy Logic Swarm Intelligence Artificial Intelligence Cyber-physical systems IoT Professional Computing Algorithms

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Monte Carlo Search

Posted By: AvaxGenius

Date: 21 Oct 2021 12:30:25

Monte Carlo Search: First Workshop, MCS 2020, Held in Conjunction with IJCAI 2020, Virtual Event, January 7, 2021, Proceedings by Tristan Cazenave
English | PDF | 2021 | 150 Pages | ISBN : 3030894525 | 7 MB

This book constitutes the refereed proceedings of the First Workshop on Monte Carlo Search, MCS 2020, organized in conjunction with IJCAI 2020. The event was supposed to take place in Yokohama, Japan, in July 2020, but due to the Covid-19 pandemic was held virtually on January 7, 2021.

computer science games optimization search algorithms Monte Carlo methods neural networks reinforcement learning machine learning adaptive algorithms discrete mathematics Mathematics Science artificial intelligence genetic algorithms interactive computer graphics

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AI-Based Transportation Planning and Operation

Posted By: AvaxGenius

Date: 19 Jun 2021 03:50:04

AI-Based Transportation Planning and Operation by Keemin Sohn
English | PDF | 2021 | 126 Pages | ISBN : 3036503641 | 13.5 MB

The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.

unsupervised learning congestion management reinforcement learning Bayesian modeling planning Transportation Planning Mathematics Electronics Development Transportation Engineering traffic safety traffic surveillance Reinforced Learning vehicle emission reduction AI Science decision-making Programming modeling Physics traffic speed forecasting supervised learning nonlinearity Communication complexity Planning ride sharing strategy estimation Technology

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Machine Learning, Optimization, and Data Science

Posted By: AvaxGenius

Date: 14 Mar 2021 11:34:59

This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020.

Development computational optimization Communication methods Mathematics InfoSec Programming ideas reinforcement learning IT Security Patterns Engineering algorithms ePub IT Science Algorithms technologies machine learning Technology artificial intelligence

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Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability

Posted By: AvaxGenius

Date: 11 Jan 2021 15:07:27

Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability by Marcus Hutter
English | PDF | 2005 | 294 Pages | ISBN : 3540221395 | 32.7 MB

This book presents sequential decision theory from a novel algorithmic information theory perspective. While the former is suited for active agents in known environments, the latter is suited for passive prediction in unknown environments.

Development information information theory Science algorithmic information theory uncertainty Programming reinforcement learning IT Patterns Engineering algorithms artificial intelligence Mathematics Algorithms Technology decision theory

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Machine Learning, Optimization, and Data Science

Posted By: AvaxGenius

Date: 9 Jan 2021 23:23:11

computational optimization methods reinforcement learning Mathematics Electronics Web development Development ideas artificial intelligence Web dev Science Programming IT Patterns Algorithms Databases technologies Communication machine learning Hardware Engineering algorithms SQL Technology

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Computer Vision – ECCV 2020

Posted By: AvaxGenius

Date: 13 Nov 2020 14:43:49

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX by Andrea Vedaldi
English | PDF | 2020 | 839 Pages | ISBN : 3030585646 | 140.2 MB

deep neural networks neural networks InfoSec reinforcement learning Mathematics Neural Network Development image reconstruction computer vision artificial intelligence Science Programming IT Patterns Algorithms Databases object recognition image coding Communication computational photography machine learning IT Security Engineering motion estimation SQL Technology

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Computer Vision – ECCV 2020

Posted By: AvaxGenius

Date: 13 Nov 2020 14:40:55

Computer Vision – ECCV 2020: 6th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXI by Andrea Vedaldi
English | PDF | 2020 | 832 Pages | ISBN : 3030585883 | 158. MB

deep neural networks Development image reconstruction Mathematics InfoSec SQL Programming reinforcement learning Science IT IT Security Patterns Engineering Algorithms motion estimation Databases image classification Artificial Intalligence Communication Technology Neural Network

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Qualitative Spatial Abstraction in Reinforcement Learning (Repost)

Posted By: AvaxGenius

Date: 20 Sep 2020 06:21:59

Qualitative Spatial Abstraction in Reinforcement Learning (Repost)

Qualitative Spatial Abstraction in Reinforcement Learning by Lutz Frommberger
English | PDF | 2010 | 186 Pages | ISBN : 3642165893 | 13.73 MB

Reinforcement learning has developed as a successful learning approach for domains that are not fully understood and that are too complex to be described in closed form. However, reinforcement learning does not scale well to large and continuous problems. Furthermore, acquired knowledge specific to the learned task, and transfer of knowledge to new tasks is crucial.

Development Spatial Abstraction Science robotics Programming reinforcement learning State Space Representation Patterns Engineering cognitive science Algorithms Mathematics Technology artificial intelligence

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Deep Reinforcement Learning for Wireless Networks

Posted By: AvaxGenius

Date: 18 Sep 2020 13:45:54

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme.

Development Deep reinforcement learning deep learning Programming reinforcement learning Wireless Patterns Mobile Social Networks Algorithms Science Mathematics Wireless Systems Communication Technology Engineering ePub

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Genetic Algorithms for Machine Learning

Posted By: AvaxGenius

Date: 19 Jul 2020 16:27:00

Genetic Algorithms for Machine Learning by John J. Grefenstette
English | PDF | 1994 | 167 Pages | ISBN : 1461361826 | 19.34 MB

The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at a special Workshop on Genetic Algorithms for Machine Learning at the same Conference.

Development Science Programming reinforcement learning machine learning Patterns Engineering algorithms Mathematics Algorithms search algorithm Technology

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