Talk:AdaBoost: Difference between revisions
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What is a weak classifier? <span style="font-size: smaller;" class="autosigned">—Preceding [[Wikipedia:Signatures|unsigned]] comment added by [[Special:Contributions/202.89.161.163|202.89.161.163]] ([[User talk:202.89.161.163|talk]]) 06:38, 27 March 2009 (UTC)</span><!-- Template:UnsignedIP --> <!--Autosigned by SineBot--> |
What is a weak classifier? <span style="font-size: smaller;" class="autosigned">—Preceding [[Wikipedia:Signatures|unsigned]] comment added by [[Special:Contributions/202.89.161.163|202.89.161.163]] ([[User talk:202.89.161.163|talk]]) 06:38, 27 March 2009 (UTC)</span><!-- Template:UnsignedIP --> <!--Autosigned by SineBot--> |
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When was Adaboost invented? How has it affected Machine Learning research? How does it relate to the support vector machine idea? I'd like to see some more history and big picture ideas in this article.--[[User:Singularitarian|Singularitarian]] ([[User talk:Singularitarian|talk]]) 19:36, 10 November 2009 (UTC) |
Revision as of 19:36, 10 November 2009
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I'm not sure with the way the weight α is computed. In Viola and Jones paper, they define α as 0.5*log(1-ε/ε) and not ln. If this is ln, α is negative, which is not possible.
- First, log is not necessarily logarithm with base 10, often it is the same as ln. Second, if it is, then log10(x) = ln(x)/ln(10), so log10(x) and ln(x) are either both positive or both negative. Since it is postulated that ε<0.5, then α is always positive. Finally, (1-ε)/ε ≠ 1-ε/ε. Victordk13 (talk) 10:19, 7 July 2008 (UTC)
What is a weak classifier? —Preceding unsigned comment added by 202.89.161.163 (talk) 06:38, 27 March 2009 (UTC)
When was Adaboost invented? How has it affected Machine Learning research? How does it relate to the support vector machine idea? I'd like to see some more history and big picture ideas in this article.--Singularitarian (talk) 19:36, 10 November 2009 (UTC)