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    IJCAI
    2007
    217views Artificial Intelligence» more  IJCAI 2007»
    Semantic Precision and Recall for Ontology Alignment Evaluation
    13 years 6 months ago
    Semantic Precision and Recall for Ontology Alignment Evaluation
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    In order to evaluate ontology matching algorithms it is necessary to confront them with test ontologies and to compare the results with some reference. The most prominent comparis...
    Jérôme Euzenat
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    IJCAI
    2007
    145views Artificial Intelligence» more  IJCAI 2007»
    Kernel Conjugate Gradient for Fast Kernel Machines
    13 years 6 months ago
    Kernel Conjugate Gradient for Fast Kernel Machines
    Download  www.ri.cmu.edu
    We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
    Nathan D. Ratliff, J. Andrew Bagnell
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    IJCAI
    2007
    189views Artificial Intelligence» more  IJCAI 2007»
    Lambda Depth-First Proof Number Search and Its Application to Go
    13 years 6 months ago
    Lambda Depth-First Proof Number Search and Its Application to Go
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    Kazuki Yoshizoe, Akihiro Kishimoto, Martin Mü...
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    IJCAI
    2007
    184views Artificial Intelligence» more  IJCAI 2007»
    Argumentation Based Contract Monitoring in Uncertain Domains
    13 years 6 months ago
    Argumentation Based Contract Monitoring in Uncertain Domains
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    Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for man...
    Nir Oren, Timothy J. Norman, Alun D. Preece
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    IJCAI
    2007
    169views Artificial Intelligence» more  IJCAI 2007»
    A Comparison of Time-Space Schemes for Graphical Models
    13 years 6 months ago
    A Comparison of Time-Space Schemes for Graphical Models
    Download  www.ics.uci.edu
    We investigate three parameterized algorithmic schemes for graphical models that can accommodate trade-offs between time and space: 1) AND/OR Adaptive Caching (AOC(i)); 2) Variabl...
    Robert Mateescu, Rina Dechter
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    IJCAI
    2007
    184views Artificial Intelligence» more  IJCAI 2007»
    A Fully Connectionist Model Generator for Covered First-Order Logic Programs
    13 years 6 months ago
    A Fully Connectionist Model Generator for Covered First-Order Logic Programs
    Download  www.wv.inf.tu-dresden.de
    We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
    Sebastian Bader, Pascal Hitzler, Steffen Höll...
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    IJCAI
    2007
    160views Artificial Intelligence» more  IJCAI 2007»
    Learning from Partial Observations
    13 years 6 months ago
    Learning from Partial Observations
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    We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
    Loizos Michael
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    IJCAI
    2007
    200views Artificial Intelligence» more  IJCAI 2007»
    RoxyBot-06: An (SAA)2 TAC Travel Agent
    13 years 6 months ago
    RoxyBot-06: An (SAA)2 TAC Travel Agent
    Download  www.ijcai.org
    In this paper, we describe our entrant in the travel division of the 2006 Trading Agent Competition (TAC). At a high level, the design of many successful autonomous trading agents...
    Seong Jae Lee, Amy R. Greenwald, Victor Naroditski...
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    IJCAI
    2007
    168views Artificial Intelligence» more  IJCAI 2007»
    One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition
    13 years 6 months ago
    One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition
    Download  www.ijcai.org
    In this paper, we present a simple yet novel method of exploiting unlabeled text to further improve the accuracy of a high-performance state-of-theart named entity recognition (NE...
    Yingchuan Wong, Hwee Tou Ng
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    IJCAI
    2007
    188views Artificial Intelligence» more  IJCAI 2007»
    Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
    13 years 6 months ago
    Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
    Download  ijcai.org
    Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
    Shehroz S. Khan, Shri Kant
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