COPYRIGHT YEAR

2010

AUTHORS

Janusz Kacprzyk, S?awomir T. Wierzcho?, Jacek Koronacki, Zbigniew W. Ra?

TYPE

Monograph

TITLE

Advances in Machine Learning II

DESCRIPTION

State of the art of Machine LearningDedicated to the memory of Professor Ryszard S. Michalski

PUBLISHER

Springer Berlin Heidelberg

BOOK (manifestation)

  • Book: 978-3-642-05179-1 (eBook)
  • Book: 978-3-642-05178-4 (Book)

  • Related objects

    ORGANIZATION

  • Polish Academy Of Sciences

  • CHAPTERS

  • BookChapter: Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework
  • BookChapter: The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation
  • BookChapter: Adapting to Human Gamers Using Coevolution
  • BookChapter: Clustering the Web 2.0
  • BookChapter: Towards Multistrategic Statistical Relational Learning
  • BookChapter: About Knowledge and Inference in Logical and Relational Learning
  • BookChapter: A System to Detect Inconsistencies between a Domain Expert’s Different Perspectives on (Classification) Tasks
  • BookChapter: Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation
  • BookChapter: Induction in Multi-Label Text Classification Domains
  • BookChapter: Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction
  • BookChapter: Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection
  • BookChapter: On Concise Representations of Frequent Patterns Admitting Negation
  • BookChapter: Machine Learning Methods in Automatic Image Annotation
  • BookChapter: Cluster-Lift Method for Mapping Research Activities over a Concept Tree
  • BookChapter: Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks
  • BookChapter: Wisdom of Crowds in the Prisoner’s Dilemma Context
  • BookChapter: Data Privacy: From Technology to Economics
  • BookChapter: Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification
  • BookChapter: Logical Aspects of the Measures of Interestingness of Association Rules
  • BookChapter: Toward Interactive Computations: A Rough-Granular Approach
  • BookChapter: Simple Algorithms for Frequent Item Set Mining
  • BookChapter: Machine Learning in Vector Models of Neural Networks
  • BookChapter: Immunocomputing for Speaker Recognition
  • BookChapter: Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the ‘Assets’ in Theorem Proving

  • PRODUCT MARKET CODES

  • Computer Science
  • Artificial Intelligence (Incl. Robotics)
  • Computational Intelligence

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    23 TRIPLES      18 PREDICATES      24 URIs      13 LITERALS

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