
Algorithmic learning of probability distributions from random data in the limit
We study the problem of identifying a probability distribution for some ...
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An equivalence between learning of data and probability distributions, and some applications
Algorithmic learning theory traditionally studies the learnability of ef...
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Aspects of Chaitin's Omega
The halting probability of a Turing machine,also known as Chaitin's Omeg...
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Equivalences between learning of data and probability distributions, and their applications
Algorithmic learning theory traditionally studies the learnability of ef...
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Monotonous betting strategies in warped casinos
Suppose that the outcomes of a roulette table are not entirely random, i...
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The idemetric property: when most distances are (almost) the same
We introduce the idemetric property, which formalises the idea that most...
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Granularity of wagers in games and the (im)possibility of savings
In a casino where arbitrarily small bets are admissible, any betting str...
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George Barmpalias
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