INSTITUTIONAL DIGITAL REPOSITORY

Browsing by Subject "Random forests"

Browsing by Subject "Random forests"

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  • Label space driven feature space remapping 
    Sukhija, S. (2018-11-13)
    The elicitation of labeled training data from physical sources is a primary bottleneck that limits the applicability of traditional supervised learning algorithms. Transfer learning algorithms overcome the limitation ...
  • Supervised heterogeneous feature transfer via random forests 
    Sukhija, S.; Narayanan, C.K. (2018-12-20)
    Transfer learning across heterogeneous feature spaces can, in general, be a very difficult problem in practice due to the heterogeneity of features and lack of correspondence between data points of different domains. In ...
  • Supervised heterogeneous transfer learning using random forests 
    Sukhija, S.; Krishnan, N.C.; Kumar, D. (2018-12-20)
    Supervised transfer learning algorithms utilize labeled data from auxiliary domains for learning in another domain where labeled data is scarce or absent. Given sufficient cross-domain corresponding instances, one can ...