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    ESANN
    2007
    113views Neural Networks» more  ESANN 2007»
    Kernel-based online machine learning and support vector reduction
    14 years 11 months ago
    Kernel-based online machine learning and support vector reduction
    Download  www.physics.ox.ac.uk
    We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
    Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
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    FORTE
    2007
    96views Formal Methods» more  FORTE 2007»
    Transactional Reduction of Component Compositions
    14 years 11 months ago
    Transactional Reduction of Component Compositions
    Download  www.lsv.ens-cachan.fr
    Behavioural protocols are beneficial to Component-Based Software Engineering and Service-Oriented Computing as they foster automatic procedures for discovery, composition, composi...
    Serge Haddad, Pascal Poizat
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    SNPD
    2008
    154views Artificial Intelligence» more  SNPD 2008»
    Testing Component-Based Real Time Systems
    14 years 11 months ago
    Testing Component-Based Real Time Systems
    Download  hal.archives-ouvertes.fr
    This paper focuses on studying efficient solutions for modeling and deriving compositional tests for component-based real-time systems. In this work, we propose a coherent framewo...
    Rachid Bouaziz, Ismail Berrada
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    IJCAI
    2001
    81views Artificial Intelligence» more  IJCAI 2001»
    Solving Factored MDPs via Non-Homogeneous Partitioning
    14 years 11 months ago
    Solving Factored MDPs via Non-Homogeneous Partitioning
    Download  www.cs.brown.edu
    This paper describes an algorithm for solving large state-space MDPs (represented as factored MDPs) using search by successive refinement in the space of non-homogeneous partition...
    Kee-Eung Kim, Thomas Dean
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    IJCAI
    2003
    119views Artificial Intelligence» more  IJCAI 2003»
    Incremental Utility Elicitation with the Minimax Regret Decision Criterion
    14 years 11 months ago
    Incremental Utility Elicitation with the Minimax Regret Decision Criterion
    Download  www.cs.toronto.edu
    Utility elicitation is a critical function of any automated decision aid, allowing decisions to be tailored to the preferences of a specific user. However, the size and complexit...
    Tianhan Wang, Craig Boutilier
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