Advances in Machine Learning II Dedicated to the memory of Professor Ryszard S. Michalski /

This is the second volume of a large two-volume editorial project we wish to dedicate to the memory of the late Professor Ryszard S. Michalski who passed away in 2007. He was one of the fathers of machine learning, an exciting and relevant, both from the practical and theoretical points of view, are...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Koronacki, Jacek (Editor ), Ras, Zbigniew W. (Editor ), Wierzchon, Slawomir T. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Studies in Computational Intelligence, 263
Temas:
Artificial intelligence.
Computational intelligence.
Artificial Intelligence.
Computational Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • General Issues
  • Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation
  • Toward Interactive Computations: A Rough-Granular Approach
  • Data Privacy: From Technology to Economics
  • Adapting to Human Gamers Using Coevolution
  • Wisdom of Crowds in the Prisoner's Dilemma Context
  • Logical and Relational Learning, and Beyond
  • Towards Multistrategic Statistical Relational Learning
  • About Knowledge and Inference in Logical and Relational Learning
  • Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the 'Assets' in Theorem Proving
  • Logical Aspects of the Measures of Interestingness of Association Rules
  • Text and Web Mining
  • Clustering the Web 2.0
  • Induction in Multi-Label Text Classification Domains
  • Cluster-Lift Method for Mapping Research Activities over a Concept Tree
  • On Concise Representations of Frequent Patterns Admitting Negation
  • Classification and Beyond
  • A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks
  • The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation
  • Simple Algorithms for Frequent Item Set Mining
  • Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification
  • Machine Learning Methods in Automatic Image Annotation
  • Neural Networks and Other Nature Inspired Approaches
  • Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework
  • Machine Learning in Vector Models of Neural Networks
  • Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction
  • Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks
  • Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection
  • Immunocomputing for Speaker Recognition.

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