What are you working on? June 2012

David_Gerard

This is the bimonthly 'What are you working On?' thread. Previous threads are here. So here's the question:

What are you working on?

Here are some guidelines:

Focus on projects that you have recently made progress on, not projects that you're thinking about doing but haven't started.
Why this project and not others? Mention reasons why you're doing the project and/or why others should contribute to your project (if applicable).
Talk about your goals for the project.
Any kind of project is fair game: personal improvement, research project, art project, whatever.
Link to your work if it's linkable.

This is the bimonthly 'What are you working On?' thread. Previous threads are here. So here's the question:

What are you working on?

Here are some guidelines:

Focus on projects that you have recently made progress on, not projects that you're thinking about doing but haven't started.
Why this project and not others? Mention reasons why you're doing the project and/or why others should contribute to your project (if applicable).
Talk about your goals for the project.
Any kind of project is fair game: personal improvement, research project, art project, whatever.
Link to your work if it's linkable.

http://lesswrong.com/lw/9pl/automatic_programming_an_example/

Was this better?

I always want the shortest possible generating algorithm. Everything else, any "dimensionality" is just irrelevant.

Yes, I think that was better, because the ground truth is Kepler's third law and jimrandomh pointed out your method actually recaptures a (badly obfuscated and possibly overfit) variant of it.

"Dimensionality" is totally relevant in any approach to supervised learning. But it matters even without considering the bias/variance trade-off, etc.

Imagine that you have an high-dimensional predictor, of which one dimension completely determines the outcome and the rest are noise. Your shortest possible generating algorithm is going to have to pick out the... (read more)

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