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18th International Conference, IPMU 2020, Lisbon, Portugal, June ... in Computer and Information Science )

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"Information Processing and Management of Uncertainty in Knowledge-Based Systems" was published by Springer in Jun 06, 2020 - Cham and it has 797 pages.


“Information Processing and Management of Uncertainty in Knowledge-Based Systems” Metadata:

  • Title: ➤  Information Processing and Management of Uncertainty in Knowledge-Based Systems
  • Authors: ➤  
  • Number of Pages: 797
  • Publisher: Springer
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  • Publish Location: Cham

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  • Format: paperback

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Intro -- Preface -- Organization -- Abstracts of Invited Talks -- How Action Shapes Thought -- Making Sense Out of Activity Sensing in Eldercare -- From Eliza to Siri and Beyond -- Average Jane, Where Art Thou? - Recent Avenues in Efficient Machine Learning Under Subjectivity Uncertainty -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Homage to Enrique Ruspini -- On Ruspini's Models of Similarity-Based Approximate Reasoning -- 1 Introduction -- 2 Graded Similarity-Based Entailments -- 2.1 Approximate Entailment -- 2.2 Proximity Entailment -- 2.3 Strong Entailment -- 3 Logical Formalisations -- 3.1 Conditional-Like Logics of Graded Approximate and Strong Entailments -- 3.2 Modal Logic Connections -- 4 Conclusions and Dedication -- References -- Fuzzy Memories of Enrique Hector Ruspini (1942-2019) -- Abstract -- 1 Introduction -- 2 Facts and Data -- 3 The 1960s -- 4 The 1970s and 1980s -- 5 From the 1990s Until Today -- References -- Invited Talks -- From Eliza to Siri and Beyond -- 1 Introduction -- 2 Challenges -- 3 Historical Perspective -- 4 Current Trends -- 5 Main Conclusions and Future Work -- References -- Average Jane, Where Art Thou? - Recent Avenues in Efficient Machine Learning Under Subjectivity Uncertainty -- 1 Subjectivity and AI -- 2 The Dimensions of AI for Subjective Data -- 2.1 Adapting the Labels vs. Adapting the Algorithms -- 2.2 The Many Considerations of Working with Subjective Data -- 2.3 Related Problems in AI -- 3 Addressing Subjectivity -- 3.1 Simple Fusion of Labels -- 3.2 Weighted Fusion of Labels -- 4 Embracing Subjectivity -- 4.1 Incorporating Subjectivity in the Algorithm -- 4.2 Assuming Soft Labels -- 4.3 Explicitly Modelling a Rater -- 5 Active Learning Under Subjectivity -- 6 Learning with Subjectivity as the Norm? -- 6.1 Subjectivity-Aware AI Pipeline -- 6.2 Uncertainty-Aware Deep Learning

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