Search results for "Optimization" - Rhea

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• Detailed Course Description
  Signals and Systems, 3rd edition, N. Levan, Optimization Software, Inc., New York, ISBN 0-911575-63-4, 1992.
  7 KB (1,153 words) - 14:06, 24 August 2009
• Lecture 9 - Linear Discriminant Functions OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  9 KB (1,341 words) - 11:15, 10 June 2013
• ECE662Sp10 MakeupLectureNotes01
  ...o solve. So, fix <math>|\vec{w}|=1</math>, but then this is a "constraint optimization problem" (did i screw up this description? --[[User:Mreeder|Mreeder]] 21:56
  9 KB (1,536 words) - 07:26, 12 April 2010
• Lecture24ECE662S10
  ...s" in the case where the data is not linearly separable. We noted that the optimization problem in that case involves inner products between the training samples,
  1 KB (188 words) - 10:36, 16 April 2010
• Noteslecture8ECE662S10
  ...alytically or numerically minimizing <math>e^{-f(\beta)}</math>, therefore optimization is now in the one dimensional β space.
  5 KB (806 words) - 09:08, 11 May 2010
• MA421 Announcement Spring2011
  =[[MA421]]: "Linear Programming and Optimization Techniques"= "optimization problems". In all cases, one wants to minimize or maximize a
  2 KB (266 words) - 07:29, 4 January 2011
• Decision Theory Glossary ECE662Spring2008
  ...to one or more constraints; it is the basic tool in nonlinear constrained optimization. Simply put, the technique is able to determine where on a particular set o ...roblems. It can be shown that the solutions of these derived unconstrained optimization problems will converge to the solution of the original constrained problem.
  31 KB (4,787 words) - 18:21, 22 October 2010
• MA421
  =MA421: "Linear Programming and Optimization Techniques"=
  768 B (100 words) - 11:33, 11 November 2010
• Linear programming MA265F11Walther
  ...lly use as one of the optimization problem solvers. In general, to solve a optimization problem, you need to have an objective (what do you want to solve? Do you w There are many software that help you solve optimization problems. In this page, I will focus on how to use GAMS.
  5 KB (736 words) - 09:14, 11 April 2013
• Professional statement alex layton ECE400S12
  ...application of signal processing in agriculture, such as yield mapping or optimization of fertilizer or pesticide application. This research is supervised by Prof
  5 KB (721 words) - 12:18, 9 February 2012
• Lecture 1 - Introduction OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  3 KB (413 words) - 11:17, 10 June 2013
• Lecture 3 - Bayes classification OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  6 KB (874 words) - 11:17, 10 June 2013
• Lecture 4 - Bayes Classification OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  8 KB (1,403 words) - 11:17, 10 June 2013
• Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  10 KB (1,609 words) - 11:22, 10 June 2013
• Lecture 17 - Nearest Neighbors Clarification Rule and Metrics OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  6 KB (977 words) - 11:22, 10 June 2013
• Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  7 KB (1,098 words) - 11:22, 10 June 2013
• Lecture 6 - Discriminant Functions OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  10 KB (1,604 words) - 11:17, 10 June 2013
• Lecture 7 - MLE and BPE OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  10 KB (1,472 words) - 11:16, 10 June 2013
• Lecture 5 - Discriminant Functions OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  6 KB (946 words) - 11:17, 10 June 2013
• Lecture 8 - MLE, BPE and Linear Discriminant Functions OldKiwi
  [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|
  6 KB (833 words) - 11:16, 10 June 2013