oh tanks a lot, would you please email it to me!!?

> 
> Pablo,
> 
> If you are interested in Solomonoff induction and don't 
want to
> spend all the money to buy the book just yet then you 
might be
> interested in a paper I wrote a few years back that starts 
from
> basic computation theory and proves all the key results.
> It about 25 pages of mathematics in PDF format, I can 
email it
> to you if you like.
> 
> The key points are:
> 
> Solomonoff induction will learn anything that is 
computationally
> expressible (i.e. anything useful) with an error rate that falls
> to zero faster than 1/n where n is the number of bits of 
input
> data that the system has been given.
> 
> Solomonoff induction is not computable and it is difficult to
> approximate well.
> 
> Most learning methods in statistics and machine learning 
can in
> some sense be proven to be computable approximations 
to Solomonoff
> induction.
> 
> 
> So, in short, it's an interesting theoretical model that's 
amazingly
> powerful but it's not something you can directly use in 
practice.
> The prize for an amazingly powerful and practical system is 
still
> very much up for grabs :)
> 
> If you're serious about data compression also check out a 
book
> called Text Compression by Bell, Cleary and Witten.
> 
> Cheers
> Shane
> 
> 
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