Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "Linear Models"

Now showing items 1-2 of 2

    • Superscalar Processor Models Using Statistical Learning 

      Joseph, P J (2009-06-24)
      Processor architectures are becoming increasingly complex and hence architects have to evaluate a large design space consisting of several parameters, each with a number of potential settings. In order to assist in guiding ...

    • Supervised Learning of Piecewise Linear Models 

      Manwani, Naresh (2018-03-07)
      Supervised learning of piecewise linear models is a well studied problem in machine learning community. The key idea in piecewise linear modeling is to properly partition the input space and learn a linear model for every ...