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How to Build a Social Media Legion
Created originally for Technology Association of Georgia (TAG) society leaders.
A social media legion is your personal or professional brand's biggest advocates online. They cheer you on, offer willing RTs and help you amplify your message. So, how do you build that group of die-hard fan followers? Here are five steps to get you started.
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How to Build a Social Media Legion
Created originally for Technology Association of Georgia (TAG) society leaders.
A social media legion is your personal or professional brand's biggest advocates online. They cheer you on, offer willing RTs and help you amplify your message. So, how do you build that group of die-hard fan followers? Here are five steps to get you started.
Robust Breast Cancer Diagnosis on Four Different Datasets Using Multi-Classif...
The goal of this paper is to compare between different classifiers or multi-classifiers fusion with respect to accuracy in discovering breast cancer for four different data sets. We present an implementation among various classification techniques which represent the most known algorithms in this field on four different datasets of breast cancer two for diagnosis and two for prognosis. We present a fusion between classifiers to get the best multi-classifier fusion approach to each data set individually. By using confusion matrix to get classification accuracy which built in 10-fold cross validation technique. Also, using fusion majority voting (the mode of the classifier output). The experimental results show that no classification technique is better than the other if used for all datasets, since the classification task is affected by the type of dataset. By using multi-classifiers fusion the results show that accuracy improved in three datasets out of four.
Exercise Associated Collapse [eac]
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