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    Learning without labels and nonnegative tensor factorization 

    Balasubramanian, Krishnakumar (Georgia Institute of Technology, 2010-04-08)
    Supervised learning tasks like building a classifier, estimating the error rate of the predictors, are typically performed with labeled data. In most cases, obtaining labeled data is costly as it requires manual labeling. ...
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    Learning matrix and functional models in high-dimensions 

    Balasubramanian, Krishnakumar (Georgia Institute of Technology, 2014-06-20)
    Statistical machine learning methods provide us with a principled framework for extracting meaningful information from noisy high-dimensional data sets. A significant feature of such procedures is that the inferences made ...

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    AuthorBalasubramanian, Krishnakumar (2)SubjectMachine learning (2)ANLS (1)Artificial intelligence (1)Block principal pivoting (1)Calculus of tensors (1)Classification (1)Consistency (1)Kernel (1)Latent vatiable (1)Matrix (1)... View MoreDate Issued2010 (1)2014 (1)Has File(s)
    Yes (2)
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