So say for each of my ‘things’ to classify I have: {house, flat, bungalow, electricityHeated, gasHeated, ... }

Which would be made into a feature vector: {1,0,0,1,0,...} which would mean a house that is heated by electricity.

For my training data I would have all this data- but for the actual thing I want to classify I might only have what kind of house it is, and a couple other things- not all the data ie. {1,0,0,?,?,...}

So how would I represent this?

I would want to find the probability that a new item would be gasHeated.

I would be using a SVM linear classifier- I don’t have any core to show because this is purely theoretical at the moment. Any help would be appreciated :)

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