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I need a reliable and accurate method to filter twe开发者_如何转开发ets as subjective or objective. In other words I need to build a filter in something like Weka using a training set.
I\'m currently developing a location based social network in Ruby on Rails. I also want to include a recommendation system. For testing the algorithms of this recommendations I need some real, anonymo
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How do you find the negative and positive training data sets of Haar features for the AdaBoost algorithm? So say you have a certain type of blob that you want to locate in an image and there are sever
I\'m trying to build an app to detect images which are advertisements from the webpages. Once I detect those I`ll not be allowing those to be displayed on the client side.
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The need for having part of the training set used as verification data is straightforward, but I am not really clear on how and at what stage of the training should it be incoperated?
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