Monthly Archives: October 2008

Linear Classifiers and Loss Functions

A linear classifier is probably the simplest machine learning technique. Given some input vector , predict some output . One trains a vector of “weights” , that determine the behavior of the classifier. Given some new input , the prediction … Continue reading

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An appalling and politically impossible way to improve voting outcomes.

In this post, I propose that elections in large democracies will give better outcomes by changing the voting rules as follows: ONLY A SMALL RANDOM SUBSET OF THE POPULATION GETS A VOTE. For each election, only a random subset of … Continue reading

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