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answered R libraries for deep learning
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comment What is this ensemble learning technique called?
@MarcClaesen If your primary modeling goal is predictive accuracy, theoretical properties of individual models is far less important. In this case blending is often an excellent approach: the strengths of one model can make up for the weaknesses of another.
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comment What is this ensemble learning technique called?
@user1008537 It is widely used. One easy way to find appropriate weights is through cross-validation. You can do a regression on the held-out data to find the weights. This is called a "second-stage model" or "meta model"
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answered What is this ensemble learning technique called?
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reviewed Approve suggested edit on Summarizing k-fold cross validation results
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revised Cosine similarity on sparse matrix
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