Solomonoff's central result on induction is that the prediction of a universal semimeasure M converges rapidly and with probability 1 to the true sequence generating predictor μ, if the latter is computable. Hence, M is eligible as a universal sequence
Many learning tasks can be viewed as sequence prediction problems. For example, online classificatio...
AbstractSolomonoff sequence prediction is a scheme to predict digits of binary strings without knowi...
Abstract. The notion of effective learnability is analyzed by relating it to the proof-theoretic str...
Solomonoff's central result on induction is that the posterior of a universal semimeasure M converge...
Solomonoff’s central result on induction is that the posterior of a universal semimeasure M converge...
Solomonoff’s central result on induction is that the prediction of a universal semimeasure M converg...
AbstractSolomonoff’s central result on induction is that the prediction of a universal semimeasure M...
AbstractSolomonoff unified Occam's razor and Epicurus’ principle of multiple explanations to one ele...
We study the properties of the Minimum Description Length principle for sequence prediction, conside...
Is the textbook result that Solomonoff’s universal posterior converges to the true posterior for all...
Solomonoff unified Occam's razor and Epicurus’ principle of multiple explanations to one elegant, fo...
Although prediction schemes which are named "universal" are now abundant, very little has ...
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, fo...
Solomonoff completed the Bayesian framework by providing a rigorous, unique, formal, and universal c...
We study the properties of the Minimum Description Length principle for sequence prediction, conside...
Many learning tasks can be viewed as sequence prediction problems. For example, online classificatio...
AbstractSolomonoff sequence prediction is a scheme to predict digits of binary strings without knowi...
Abstract. The notion of effective learnability is analyzed by relating it to the proof-theoretic str...
Solomonoff's central result on induction is that the posterior of a universal semimeasure M converge...
Solomonoff’s central result on induction is that the posterior of a universal semimeasure M converge...
Solomonoff’s central result on induction is that the prediction of a universal semimeasure M converg...
AbstractSolomonoff’s central result on induction is that the prediction of a universal semimeasure M...
AbstractSolomonoff unified Occam's razor and Epicurus’ principle of multiple explanations to one ele...
We study the properties of the Minimum Description Length principle for sequence prediction, conside...
Is the textbook result that Solomonoff’s universal posterior converges to the true posterior for all...
Solomonoff unified Occam's razor and Epicurus’ principle of multiple explanations to one elegant, fo...
Although prediction schemes which are named "universal" are now abundant, very little has ...
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, fo...
Solomonoff completed the Bayesian framework by providing a rigorous, unique, formal, and universal c...
We study the properties of the Minimum Description Length principle for sequence prediction, conside...
Many learning tasks can be viewed as sequence prediction problems. For example, online classificatio...
AbstractSolomonoff sequence prediction is a scheme to predict digits of binary strings without knowi...
Abstract. The notion of effective learnability is analyzed by relating it to the proof-theoretic str...
DOI
Add to ORKG