Advances in Machine Learning II by Jacek Koronacki
Advances in Machine Learning II

Advances in Machine Learning II


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About the Book

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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Product Details
  • ISBN-13: 9783642051784
  • Publisher: Springer-Verlag New York Inc
  • Binding: Hardback
  • Edition: 1
  • Language: English
  • Returnable: Y
  • Spine Width: 33 mm
  • Weight: 933 gr
  • ISBN-10: 3642051782
  • Publisher Date: 04 Feb 2010
  • Depth: 38
  • Height: 234 mm
  • No of Pages: 531
  • Series Title: Studies in Computational Intelligence
  • Sub Title: Dedicated to the Memory of Professor Ryszard S. Michalski
  • Width: 155 mm


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