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    NN
    2010
    Springer
    189views Neural Networks» more  NN 2010»
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    13 years 2 months ago
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    Download  www.eis.mdx.ac.uk
    Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
    Junbin Gao, Paul W. Kwan, Daming Shi
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    EMNLP
    2008
    117views Natural Language Processing» more  EMNLP 2008»
    Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
    13 years 9 months ago
    Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
    Download  www.cs.cornell.edu
    Determining the polarity of a sentimentbearing expression requires more than a simple bag-of-words approach. In particular, words or constituents within the expression can interac...
    Yejin Choi, Claire Cardie
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    ISOLA
    2007
    Springer
    83views Formal Methods» more  ISOLA 2007»
    Using Invariant Detection Mechanism in Black Box Inference
    14 years 2 months ago
    Using Invariant Detection Mechanism in Black Box Inference
    Download  membres-liglab.imag.fr
    The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
    Muzammil Shahbaz, Roland Groz
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    ICDM
    2006
    IEEE
    105views Data Mining» more  ICDM 2006»
    Learning to Use a Learned Model: A Two-Stage Approach to Classification
    14 years 1 months ago
    Learning to Use a Learned Model: A Two-Stage Approach to Classification
    Download  webdocs.cs.ualberta.ca
    Maria-Luiza Antonie, Osmar R. Zaïane, Robert ...
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    JMLR
    2010
    117views more  JMLR 2010»
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    13 years 2 months ago
    Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
    Download  jmlr.csail.mit.edu
    Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
    Xinhua Zhang, Thore Graepel, Ralf Herbrich
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