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Both sides previous revision Previous revision 2012/12/16 23:44 machacek 2012/12/16 23:40 machacek 2012/12/16 23:02 machacek 2012/12/16 22:40 machacek 2012/12/16 21:59 machacek 2012/12/16 21:34 machacek 2012/12/16 21:32 machacek 2012/12/16 21:07 machacek 2012/12/16 17:43 machacek 2012/12/16 17:43 machacek 2012/12/16 17:37 machacek 2012/12/16 17:36 machacek 2012/12/16 17:08 machacek 2012/12/16 16:46 machacek 2012/12/16 16:25 machacek 2012/12/16 16:25 machacek 2012/12/16 16:04 machacek 2012/12/16 15:56 machacek 2012/12/16 15:39 machacek 2012/12/16 15:25 machacek 2012/12/16 15:23 machacek vytvořeno Go		2012/12/16 23:44 machacek 2012/12/16 23:40 machacek 2012/12/16 23:02 machacek 2012/12/16 22:40 machacek 2012/12/16 21:59 machacek 2012/12/16 21:34 machacek 2012/12/16 21:32 machacek 2012/12/16 21:07 machacek 2012/12/16 17:43 machacek 2012/12/16 17:43 machacek 2012/12/16 17:37 machacek 2012/12/16 17:36 machacek 2012/12/16 17:08 machacek 2012/12/16 16:46 machacek 2012/12/16 16:25 machacek 2012/12/16 16:25 machacek 2012/12/16 16:04 machacek 2012/12/16 15:56 machacek 2012/12/16 15:39 machacek 2012/12/16 15:25 machacek 2012/12/16 15:23 machacek vytvořeno Go Next revision Both sides next revision
courses:rg:2012:distributed-perceptron [2012/12/16 21:32] machacek		courses:rg:2012:distributed-perceptron [2012/12/16 21:34] machacek
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	==== 3 Structured Perceptron ====		==== 3 Structured Perceptron ====
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		+	* In unstructured perceptron, you are trying to separate two sets with hyperplane. See Question 1 for algorithm. In training phase, you iterate your training data and adjust the hyperplane every time you make a mistake. [[http://www.youtube.com/watch?v=vGwemZhPlsA|Youtube Example]]
	==== 4 Distributed Structured Perceptron ====		==== 4 Distributed Structured Perceptron ====

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