Create the page "Optimization" on this wiki! See also the search results found.
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],10 KB (1,607 words) - 08:38, 17 January 2013
- |ee580 || AC-3 || (AC-2) || Optimization2 KB (279 words) - 23:00, 9 March 2008
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],6 KB (1,066 words) - 08:40, 17 January 2013
- ...Old Kiwi|Lecture 11]], [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|Lecture 12]] and [[Lecture 13 - Kernel function for SVMs a3 KB (366 words) - 08:48, 10 April 2008
- * 2008/04/20 -- Added four papers in [[Publications_Old Kiwi]] about Optimization-based clustering methods.10 KB (1,418 words) - 12:21, 28 April 2008
- A global optimization technique is introduced for statistical classifier design to minimize the p3 KB (430 words) - 10:40, 24 April 2008
- GA is widely used as a optimization technique. Other biological inspired techniques include Ant Colony Optimisa2 KB (254 words) - 22:51, 10 March 2008
- ===Optimization-based clustering methods=== ...that follows the min-max clustering principle. The relaxed version of the optimization of the min-max cut objective function leads to the Fiedler vector in spectr39 KB (5,715 words) - 10:52, 25 April 2008
- Need to fix <math>|| \omega || = 1</math> , resulting in a Constrained Optimization Problem.4 KB (653 words) - 10:50, 22 April 2008
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],8 KB (1,360 words) - 08:46, 17 January 2013
- ...cal inspired techniques include Ant Colony Optimization and Particle Swarm Optimization.2 KB (253 words) - 00:42, 22 March 2008
- [[Category:Optimization]]1 KB (201 words) - 10:46, 24 March 2008
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],5 KB (1,003 words) - 08:40, 17 January 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],6 KB (1,047 words) - 08:42, 17 January 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]], Query selection => numerical optimization problem.6 KB (1,012 words) - 08:42, 17 January 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],6 KB (806 words) - 08:42, 17 January 2013
- ...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 o448 B (72 words) - 10:19, 7 April 2008
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],7 KB (1,060 words) - 08:43, 17 January 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_Old Kiwi|12]],8 KB (1,254 words) - 08:43, 17 January 2013
- ...d data and the center. Fuzzy partition is carried out through an iterative optimization of the previous expression with the update of membership <math>u_{ij}</math1 KB (258 words) - 16:20, 10 April 2008