Learning Probabilistic Automata with Variable Memory - CS
... distribution by distributions generated by HMMs. They prove that HMMs are not trainable in time polynomial in the alphabet size, unless RP = NP. Even if we allow the algorithm to run in time exponential in the alphabet size, then there are no known algorithms which run in time polynomial in the numb ...
... distribution by distributions generated by HMMs. They prove that HMMs are not trainable in time polynomial in the alphabet size, unless RP = NP. Even if we allow the algorithm to run in time exponential in the alphabet size, then there are no known algorithms which run in time polynomial in the numb ...
Tossing a Biased Coin
... algorithm, but the only source of randomness available might be a biased coin. We can obtain a sequence of bits with the Multi-Level strategy in the following way: we flip the biased coin a large number of times. Then we run through each of the levels, producing a bit for each heads-tails or tails-h ...
... algorithm, but the only source of randomness available might be a biased coin. We can obtain a sequence of bits with the Multi-Level strategy in the following way: we flip the biased coin a large number of times. Then we run through each of the levels, producing a bit for each heads-tails or tails-h ...
independent events and independent experiments
... independent events in Q. In this article we show that any set of nontrivial mutually independent events in Sl must be of this form; that is, mutually independent events in Sl must be isomorphic to events from independent experiments with equally likely outcomes. Received by the editors September 25, ...
... independent events in Q. In this article we show that any set of nontrivial mutually independent events in Sl must be of this form; that is, mutually independent events in Sl must be isomorphic to events from independent experiments with equally likely outcomes. Received by the editors September 25, ...
