7:00 – 3:30 VTX
- Sandy Spring Bank!
- 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)