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    KDD
    2005
    ACM
    177views Data Mining» more  KDD 2005»
    Query chains: learning to rank from implicit feedback
    15 years 10 months ago
    Query chains: learning to rank from implicit feedback
    Download  www.cs.cornell.edu
    This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
    Filip Radlinski, Thorsten Joachims
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    PERCOM
    2007
    ACM
    190views Computer Networks» more  PERCOM 2007»
    Structural Learning of Activities from Sparse Datasets
    15 years 9 months ago
    Structural Learning of Activities from Sparse Datasets
    Download  www.comp.lancs.ac.uk
    Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
    Fahd Albinali, Nigel Davies, Adrian Friday
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    KDD
    2007
    ACM
    192views Data Mining» more  KDD 2007»
    Active exploration for learning rankings from clickthrough data
    15 years 10 months ago
    Active exploration for learning rankings from clickthrough data
    Download  radlinski.org
    We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
    Filip Radlinski, Thorsten Joachims
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    EMNLP
    2008
    199views Natural Language Processing» more  EMNLP 2008»
    Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
    14 years 11 months ago
    Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
    Download  www.aclweb.org
    We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
    Ananlada Chotimongkol, Alexander I. Rudnicky
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    IDA
    2003
    Springer
    119views Information Technology» more  IDA 2003»
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    15 years 3 months ago
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    Download  people.brunel.ac.uk
    Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
    Allan Tucker, Xiaohui Liu
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