図書

Synthesis lectures on artificial intelligence and machine learning

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Synthesis lectures on artificial intelligence and machine learning

Material type
図書
Author
-
Publisher
Morgan & Claypool
Publication date
2007
Material Format
Paper
Capacity, size, etc.
-
NDC
-
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Related materials as well as pre- and post-revision versions

Introduction to Intelligent systems in traffic and transportationLeave the NDL website. A concise introduction to models and methods for automated planningLeave the NDL website. Graph-based semi-supervised learningLeave the NDL website. Intelligent autonomous robotics : a robot soccer case studyLeave the NDL website. Lifelong machine learningLeave the NDL website. Active learningLeave the NDL website. Judgment aggregation : a primerLeave the NDL website. Visual object recognitionLeave the NDL website. Markov logic : an interface layer for artificial intelligenceLeave the NDL website. Adversarial machine learningLeave the NDL website. An introduction to constraint-based temporal reasoningLeave the NDL website. Planning with Markov Decision Processes: an AI perspectiveLeave the NDL website. Essentials of game theory : a concise, multidisciplinary introductionLeave the NDL website. Transfer learning for multiagent reinforcement learning systemsLeave the NDL website. Transfer learning for multiagent reinforcement learning systemsLeave the NDL website. Introduction to graph neural networksLeave the NDL website. Applying reinforcement learning on real-world data with practical examples in PythonLeave the NDL website. Markov logic : an interface layer for artificial intelligenceLeave the NDL website. Toward robots that reason : logic, probability & causal lawsLeave the NDL website. Introduction to semi-supervised learningLeave the NDL website. Human computationLeave the NDL website. Computational aspects of cooperative game theoryLeave the NDL website. Essential principles for autonomous roboticsLeave the NDL website. Algorithms for reinforcement learningLeave the NDL website. Game theory for data science : eliciting truthful informationLeave the NDL website. Graph representation learningLeave the NDL website. Federated learningLeave the NDL website. Introduction to graph neural networksLeave the NDL website. Metric learningLeave the NDL website. Introduction to graph neural networksLeave the NDL website. Graph representation learningLeave the NDL website. Statistical relational artificial intelligence : logic, probability, and computationLeave the NDL website. Lifelong machine learningLeave the NDL website.

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Table of Contents

  • Introduction to Intelligent systems in traffic and transportation

  • A concise introduction to models and methods for automated planning

  • Graph-based semi-supervised learning

  • Intelligent autonomous robotics : a robot soccer case study

  • Lifelong machine learning

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Paper

Material Type
図書
Publication, Distribution, etc.
Publication Date (W3CDTF)
2007
Place of Publication (Country Code)
us
Target Audience
一般
Related Material
Introduction to Intelligent systems in traffic and transportation
A concise introduction to models and methods for automated planning
Graph-based semi-supervised learning
Intelligent autonomous robotics : a robot soccer case study
Lifelong machine learning
Active learning
Judgment aggregation : a primer
Visual object recognition
Markov logic : an interface layer for artificial intelligence
Adversarial machine learning
An introduction to constraint-based temporal reasoning
Planning with Markov Decision Processes: an AI perspective
Essentials of game theory : a concise, multidisciplinary introduction
Transfer learning for multiagent reinforcement learning systems
Transfer learning for multiagent reinforcement learning systems
Introduction to graph neural networks
Applying reinforcement learning on real-world data with practical examples in Python
Markov logic : an interface layer for artificial intelligence
Toward robots that reason : logic, probability & causal laws
Introduction to semi-supervised learning
Human computation
Computational aspects of cooperative game theory
Essential principles for autonomous robotics
Algorithms for reinforcement learning
Game theory for data science : eliciting truthful information
Graph representation learning
Federated learning
Introduction to graph neural networks
Metric learning
Introduction to graph neural networks
Graph representation learning
Statistical relational artificial intelligence : logic, probability, and computation
Lifelong machine learning
Data Provider (Database)
国立情報学研究所 : CiNii Research
Original Data Provider (Database)
CiNii Books