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    IJCAI
    2003
    209views Artificial Intelligence» more  IJCAI 2003»
    Integrating Background Knowledge Into Text Classification
    14 years 25 days ago
    Integrating Background Knowledge Into Text Classification
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    We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
    Sarah Zelikovitz, Haym Hirsh
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    IJCAI
    2003
    130views Artificial Intelligence» more  IJCAI 2003»
    Temporal Reasoning with Preferences and Uncertainty
    14 years 25 days ago
    Temporal Reasoning with Preferences and Uncertainty
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    Temporal Constraint Satisfaction Problems allow for reasoning with events happening over time. Their expressiveness has been extended independently in two directions: to account f...
    Neil Yorke-Smith, Kristen Brent Venable, Francesca...
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    IJCAI
    2003
    103views Artificial Intelligence» more  IJCAI 2003»
    Qualitative Map Learning Based on Co-visibility of Objects
    14 years 25 days ago
    Qualitative Map Learning Based on Co-visibility of Objects
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    This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
    Takehisa Yairi, Koichi Hori
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    IJCAI
    2003
    113views Artificial Intelligence» more  IJCAI 2003»
    Web Page Cleaning for Web Mining through Feature Weighting
    14 years 25 days ago
    Web Page Cleaning for Web Mining through Feature Weighting
    Download  dli.iiit.ac.in
    Unlike conventional data or text, Web pages typically contain a large amount of information that is not part of the main contents of the pages, e.g., banner ads, navigation bars, ...
    Lan Yi, Bing Liu
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    IJCAI
    2003
    112views Artificial Intelligence» more  IJCAI 2003»
    Dynamics of Coalition Formation in Combinatorial Trading
    14 years 25 days ago
    Dynamics of Coalition Formation in Combinatorial Trading
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    This paper studies the dynamics of agent mediated combinatorial trading at the macroscopic level. The combinatorial marketplace consists of a retailer who wishes to sell bundles o...
    Yiming Ye, Yuhai Tu
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    IJCAI
    2003
    152views Artificial Intelligence» more  IJCAI 2003»
    Domain Event Extraction and Representation with Domain Ontology
    14 years 25 days ago
    Domain Event Extraction and Representation with Domain Ontology
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    With domain ontology, a meaningful index of document indexing, such as the domain events structure in this paper, can be defined. Since the construction of domain ontology is cost...
    Shih-Hung Wu, Tzong-Han Tsai, Wen-Lian Hsu
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    IJCAI
    2003
    92views Artificial Intelligence» more  IJCAI 2003»
    On the Power of Semantic Partitioning of Web Documents
    14 years 25 days ago
    On the Power of Semantic Partitioning of Web Documents
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    Guizhen Yang, Saikat Mukherjee, Wenfang Tan, I. V....
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    IJCAI
    2003
    152views Artificial Intelligence» more  IJCAI 2003»
    SVMC: Single-Class Classification With Support Vector Machines
    14 years 25 days ago
    SVMC: Single-Class Classification With Support Vector Machines
    Download  dli.iiit.ac.in
    Single-Class Classification (SCC) seeks to distinguish one class of data from the universal set of multiple classes. We present a new SCC algorithm that efficiently computes an ac...
    Hwanjo Yu
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    IJCAI
    2003
    132views Artificial Intelligence» more  IJCAI 2003»
    Backdoors To Typical Case Complexity
    14 years 25 days ago
    Backdoors To Typical Case Complexity
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    There has been significant recent progress in reasoning and constraint processing methods. In areas such as planning and finite model-checking, current solution techniques can h...
    Ryan Williams, Carla P. Gomes, Bart Selman
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    IJCAI
    2003
    193views Artificial Intelligence» more  IJCAI 2003»
    When Discriminative Learning of Bayesian Network Parameters Is Easy
    14 years 25 days ago
    When Discriminative Learning of Bayesian Network Parameters Is Easy
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    Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
    Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
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