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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2005.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.