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Neural Networks Data Mining Prof. Dawn Woodard School of ORIE Cornell University 1 Outline 1 Neural Networks 2 Small Cheese Example Small data set on cheese tasting: Example is from Shmueli et al. 2007 4 Small Cheese Example Predictor vars are the amount of fat and salt in the cheese sample, and response is whether or not the taster liked the cheese Since the outcome is binary, use the logistic function as the activation functions σ and ˜ σ 5
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Small Cheese Example A neural network for the cheese data, with arbitrary parameter
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Unformatted text preview: values: 6 Small Cheese Example Calculations are shown for the Frst data point: 7 Small Cheese Example Arbitrary values for the coefFcients α and β are shown in the graph The value of the node labeled “3” is calculated as: L [ − . 3 + . 05 ( . 2 ) + . 01 ( . 9 )] where L is the logistic function Similarly for the other nodes 8 Small Cheese Example A trained neural network for the cheese data: (I haven’t told you yet how the training is done) 9...
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