Now showing items 1-1 of 1

    • Nonlinear optical components for all-optical probabilistic graphical model 

      Babaeian, Masoud; Blanche, Pierre-A.; Norwood, Robert A.; Kaplas, Tommi; Keiffer, Patrick; Svirko, Yuri; Allen, Taylor G.; Chen, Vincent W.; Chi, San-Hui; Perry, Joseph W.; Marder, Seth R.; Neifeld, Mark A.; Peyghambarian, N. (Springer Nature, 2018)
      The probabilistic graphical models (PGMs) are tools that are used to compute probability distributions over large and complex interacting variables. They have applications in social networks, speech recognition, artificial ...
      Tieteelliset aikakauslehtiartikkelit