Induction, Inductive Biases, and Infusing Knowledge into Learned Representations
Induction, Inductive Biases, and Infusing Knowledge into Learned Representations
If consistency with the training instances is taken as the sole determiner of appropriate generalizations, then a program can never make the inductive leap necessary to classify instances beyond those it has observed. Only if the program has other sources
sgfin.github.io
What’s under the hood of SVM?
What’s under the hood of SVM?
What is Support Vector Machine?
medium.com
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