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    AAAI
    2012
    216views Intelligent Agents» more  AAAI 2012»
    Manifold Warping: Manifold Alignment over Time
    11 years 9 months ago
    Manifold Warping: Manifold Alignment over Time
    Download  www-all.cs.umass.edu
    Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
    Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
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    WEBNET
    2001
    191views Internet Technology» more  WEBNET 2001»
    An Adaptive Hypermedia Presentation Modeling System for Custom Knowledge Representations
    13 years 8 months ago
    An Adaptive Hypermedia Presentation Modeling System for Custom Knowledge Representations
    Download  arantxa.ii.uam.es
    We propose a generic presentation system for adaptive educational hypermedia that is highly independent from domain knowledge representation and application state management. Our a...
    Pablo Castells, José Antonio Macías ...
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    UAI
    2001
    114views Artificial Intelligence» more  UAI 2001»
    Hypothesis Management in Situation-Specific Network Construction
    13 years 8 months ago
    Hypothesis Management in Situation-Specific Network Construction
    Download  volgenau.gmu.edu
    This paper considers the problem of knowledgebased model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay...
    Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
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    GECCO
    2007
    Springer
    137views Optimization» more  GECCO 2007»
    Extended probe method for linkage discovery over high-cardinality alphabets
    14 years 24 days ago
    Extended probe method for linkage discovery over high-cardinality alphabets
    Download  www.cs.bham.ac.uk
    The work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wri...
    Shude Zhou, Zengqi Sun, Robert B. Heckendorn
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 4 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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