AbstractWe introduce a new class of nondeterministic semiautomata: A nondeterministic semiautomaton S is predictable if there exists k≥0 such that, if S knows the current input a and the next k inputs, the transition under a can be made deterministically. Nondeterminism may occur only when the length of the unread input is ≤k. We develop a theory of predictable semiautomata. We show that, if a semiautomaton with n states is k-predictable, but not (k−1)-predictable, then k≤(n2−n)/2, and this bound can be reached for a suitable input alphabet. We characterize k-predictable semiautomata, and introduce the predictor semiautomaton, based on a look-ahead semiautomaton. The predictor is essentially deterministic and simulates a nondeterministic se...
It is known that the languages consisting of directing words of deterministic and nondeterministic a...
AbstractWe introduce and investigate input-revolving finite automata, which are (nondeterministic) f...
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km = − log m, i.e...
AbstractWe introduce a new class of nondeterministic semiautomata: A nondeterministic semiautomaton ...
Abstract. A nondeterministic semiautomaton S is predictable if there exists k ≥ 0 such that, if S kn...
AbstractIt has been shown recently that deterministic semiautomata can be represented by canonical w...
Abstract. It has been shown recently that deterministic semiautomata can be represented by canonical...
AbstractIt is well known that allowing nondeterminism in a finite automaton can produce in the most ...
We show how to minimize biautomata with a Brzozowski-like algorithm by applying reversal and powerse...
AbstractWe investigate a model of polynomial-time concept prediction which is a relaxation of the di...
We show that any càdlàg predictable process of finite variation is an a.s. limit of elementary predi...
Nondeterministic automata may be viewed as succinct programs implementing deterministic automata, i....
AbstractSolomonoff’s central result on induction is that the prediction of a universal semimeasure M...
Abstract. Choices made by nondeterministic word automata depend on both the past (the prefix of the ...
Solomonoff’s central result on induction is that the prediction of a universal semimeasure M converg...
It is known that the languages consisting of directing words of deterministic and nondeterministic a...
AbstractWe introduce and investigate input-revolving finite automata, which are (nondeterministic) f...
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km = − log m, i.e...
AbstractWe introduce a new class of nondeterministic semiautomata: A nondeterministic semiautomaton ...
Abstract. A nondeterministic semiautomaton S is predictable if there exists k ≥ 0 such that, if S kn...
AbstractIt has been shown recently that deterministic semiautomata can be represented by canonical w...
Abstract. It has been shown recently that deterministic semiautomata can be represented by canonical...
AbstractIt is well known that allowing nondeterminism in a finite automaton can produce in the most ...
We show how to minimize biautomata with a Brzozowski-like algorithm by applying reversal and powerse...
AbstractWe investigate a model of polynomial-time concept prediction which is a relaxation of the di...
We show that any càdlàg predictable process of finite variation is an a.s. limit of elementary predi...
Nondeterministic automata may be viewed as succinct programs implementing deterministic automata, i....
AbstractSolomonoff’s central result on induction is that the prediction of a universal semimeasure M...
Abstract. Choices made by nondeterministic word automata depend on both the past (the prefix of the ...
Solomonoff’s central result on induction is that the prediction of a universal semimeasure M converg...
It is known that the languages consisting of directing words of deterministic and nondeterministic a...
AbstractWe introduce and investigate input-revolving finite automata, which are (nondeterministic) f...
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km = − log m, i.e...