Phil 12.10.15

7:00 – 3:30 VTX

  • Sandy Spring Bank!
  • Honda!
  • Learning: Support Vector Machines
    • More sophisticated decision bounding, with fewer ad hoc choices than GAs and NNs
    • A positive sample must have a dot product with the ‘nomal vector’ that is >= 1.0. Similarly, a negative sample mus be <= -1.0.
    • Gotta minimize with constraints: Lagrange Multipliers from Multivariable Calculus
    • Guaranteed no local maxima
  • System Description (putting it up here)