From: ted.dunning@gmail.com   
      
   On Nov 6, 2:02 pm, ItChy^D  wrote:   
      
   > 1. is random forest is the one example of algorithm that can use   
   > weight from boosting algorithm? is there any useful link to understand   
   > about random forest?   
      
   Random forests have very few parameters so it would be difficult to   
   build multiple random forests.  What random forests show is that boot-   
   strapping alone is powerful enough to get most of the benefits of   
   boosting.  That was a little surprising to me.   
      
   > 2. can or cannot decision stump (as weak learner) receive weight from   
   > boosting algorithm?   
      
   I don't think that the decision stump would be getting the weight.   
   The boost algorithm would be applying the weight.   
      
   > 3. i heard that NN can receive weight from boosting algorithm, is that   
   > true? in which step NN use that weight?   
      
   See (2).   
      
   > maybe you can explain me more details...   
      
   These questions sound like they would be answered by reading some   
   basic articles on the topic.   
      
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