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    ICML
    2006
    IEEE
    152views Machine Learning» more  ICML 2006»
    Online decoding of Markov models under latency constraints
    14 years 9 months ago
    Online decoding of Markov models under latency constraints
    Download  www.shilman.net
    The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
    Mukund Narasimhan, Paul A. Viola, Michael Shilman
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    BMCBI
    2007
    138views more  BMCBI 2007»
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
    13 years 8 months ago
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
    Download  www.biomedcentral.com
    Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
    Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
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    KDD
    2009
    ACM
    156views Data Mining» more  KDD 2009»
    Effective multi-label active learning for text classification
    14 years 8 months ago
    Effective multi-label active learning for text classification
    Download  research.microsoft.com
    Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
    Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
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    CIA
    2007
    Springer
    144views Intelligent Agents» more  CIA 2007»
    Learning Initial Trust Among Interacting Agents
    14 years 2 months ago
    Learning Initial Trust Among Interacting Agents
    Download  wwwbrauer.in.tum.de
    Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
    Achim Rettinger, Matthias Nickles, Volker Tresp
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    KDD
    2008
    ACM
    178views Data Mining» more  KDD 2008»
    Training structural svms with kernels using sampled cuts
    14 years 8 months ago
    Training structural svms with kernels using sampled cuts
    Download  www.cs.cornell.edu
    Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
    Chun-Nam John Yu, Thorsten Joachims
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