On Wed, Jul 31, 2013 at 5:19 PM, Anastasios Tsiolakidis
<[email protected]> wrote:
> On 31.07.2013, at 22:26, Matt Mahoney <[email protected]> wrote:
>
>> That is incorrect. Apple trees and water holes have a power law
>> distribution, not a normal (Gaussian) distribution
>
> Oops, the Gaussian can't be found in nature, my bad lol!

Gaussian distributions are found whenever you add up a lot of random
variables each with small variances compared to the sum. But there are
a lot of cases where that isn't so. The distribution of symbols output
by random programs has a distribution more like 1/t, where t is the
time since it was last output regardless of what happened before. Many
practical data compression programs use this model. For example, LZ77
(like zip) codes the symbol as a pointer to the previous occurrence
using log(t) bits to code the distance. Since the optimal coding of a
symbol with probability p is -log(p) bits, this implies a probability
of 1/t.

-- 
-- Matt Mahoney, [email protected]


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