Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "machine learning"

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    • Efficient Algorithms for Learning Restricted Boltzmann Machines 

      Upadhya, Vidyadhar
      The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ...

    • Multimodal sleep staging and diagnosis of sleep disorders 

      Jain, Ritika
      Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ...