(From Lecture 1 - Introduction_Old Kiwi)

  • The primary question that we must ask when working with decision surfaces is 'which line are we going to draw?'
    • Hyperplane surfaces
      • They are the easiest surfaces to draw
      • Reasonably 'easy' to define mathematically
      • May not be the best solution to the problem because of limitations to flexibility
      • 2D: straight lines
      • 3D: planes
      • ND: "Linear subspace of dimension n-1 in an d-dim space"
    • Curved decision surfaces
      • Defined by higher dim polynomials
      • The greater the degree, the greater the freedom
      • Harder to define mathematically
    • More realistic cases than simply defining gender based on hair length
      • It is difficult to define straight lines because a binary option does not exist
      • To truly understand this, learn about algebraic geometry (see the section on this topic below)
    • Varieties_Old Kiwi are often used to define Decision Surfaces. A hyperplane_Old Kiwi is an example of a variety.
    • Decision Surfaces are defined by discriminant function_Old Kiwis. For example, hyperplanes are defined by a linear combination of the parameters.


Algebraic Geometry

  • Studies the geometry of zero set polynomials
  • This means that the set of all points that simultaneously satisfy one or more polynomial equations.
  • Uses geometry of separation or surfaces described by polynomials
  • Leads to the discussion of variety below

See Also

Alumni Liaison

EISL lab graduate

Mu Qiao