Research and Development in Intelligent Systems XXI Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence /

RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXI The papers in this volume are the refereed technical papers presented at AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2004. The papers i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Coenen, Frans (Editor ), Allen, Tony (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Temas:
Artificial intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Best Technical Paper
  • Extracting Finite Structure from Infinite Language
  • Al Techniques I
  • Modelling Shared Extended Mind and Collective Representational Content
  • Overfitting in Wrapper-Based Feature Subset Selection: The Harder You Try the Worse it Gets
  • Managing ontology versions with a distributed blackboard architecture
  • OntoSearch: An Ontology Search Engine
  • CBR and Recommender Systems
  • Case Based Adaptation Using Interpolation over Nominal Values
  • Automating the Discovery of Recommendation Rules
  • Incremental Critiquing
  • Al Techniques II
  • A Treebank-Based Case Role Annotation Using an Attributed String Matching
  • A combinatorial approach to conceptual graph projection checking
  • Implementing Policy Management through BDI
  • Exploiting Causal Independence in Large Bayesian Networks
  • Intelligent Agents and Scheduling Systems
  • A Bargaining Agent aims to 'Play Fair'
  • Resource Allocation in Communication Networks Using Market-Based Agents
  • Are Ordinal Representations Effective?
  • A Framework for Hybrid Planning
  • Knowledge Discovery in Data
  • Towards Symbolic Data Mining in Numerical Time Series
  • Support Vector Machines of Interval-based Features for Time Series Classification
  • Neighbourhood Exploitation in Hypertext Categorization
  • Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains
  • Spatial Reasoning, Image Recognition and Hypercubes
  • Interactive Selection of Visual Features through Reinforcement Learning
  • Imprecise Qualitative Spatial Reasoning
  • Reasoning with Geometric Information in Digital Space
  • On Disjunctive Representations of Distributions and Randomization.

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