(copied from old kiwi)
 
 
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(From [[Lecture 1 - Introduction_OldKiwi]])
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[[Category:ECE662]]
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[[Category:decision theory]]
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[[Category:lecture notes]]
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[[Category:pattern recognition]]
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[[Category:slecture]]
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=Decision Surfaces=
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from [[Lecture_1_-_Introduction_OldKiwi|Lecture 1, ECE662, Spring 2010]]
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* The primary question that we must ask when working with decision surfaces is 'which line are we going to draw?'
 
* The primary question that we must ask when working with decision surfaces is 'which line are we going to draw?'
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** [[Varieties_OldKiwi]] are often used to define Decision Surfaces.  A [[hyperplane_OldKiwi]] is an example of a variety.
 
** [[Varieties_OldKiwi]] are often used to define Decision Surfaces.  A [[hyperplane_OldKiwi]] is an example of a variety.
 
** Decision Surfaces are defined by [[discriminant function_OldKiwi]]s.  For example, hyperplanes are defined by a linear combination of the parameters.
 
** Decision Surfaces are defined by [[discriminant function_OldKiwi]]s.  For example, hyperplanes are defined by a linear combination of the parameters.
 
 
 
 
== Algebraic Geometry ==
 
== Algebraic Geometry ==
 
* Studies the geometry of zero set polynomials
 
* Studies the geometry of zero set polynomials
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== See Also ==
 
== See Also ==
* [[Discriminant function_OldKiwi]]s
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* [[Discriminant function_OldKiwi|Discriminant Functions]]
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----
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[[Lecture_1_-_Introduction_OldKiwi|Back to Lecture 1, ECE662, Spring 2010]]

Latest revision as of 10:43, 10 June 2013


Decision Surfaces

from Lecture 1, ECE662, Spring 2010


  • 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_OldKiwi are often used to define Decision Surfaces. A hyperplane_OldKiwi is an example of a variety.
    • Decision Surfaces are defined by discriminant function_OldKiwis. 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


Back to Lecture 1, ECE662, Spring 2010

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