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Comparing various concepts of function prediction. Part 2.
(Latvia State University, 1975)
Prediction: f(m+1) is guessed from given f(0), ..., f(m). Program synthesis: a program computing f is guessed from given f(0), ..., f(m). The hypotheses are required to be correct for all sufficiently large m, or with some ...
Comparing various concepts of function prediction. Part 1.
(Latvia State University, 1974)
Prediction: f(m+1) is guessed from given f(0), ..., f(m). Program synthesis: a program computing f is guessed from given f(0), ..., f(m). The hypotheses are required to be correct for all sufficiently large m, or with some ...
Inductive inference of recursive functions: complexity bounds
(Springer Verlag, 1991)
This survey includes principal results on complexity
of inductive inference for recursively enumerable classes of total
recursive functions. Inductive inference is a process to find an
algorithm from sample computations. ...
Prediction of the next value of a function
(1981)
The following model of inductive inference is considered. Arbitrary set tau = {tau_1, tau_2, ..., tau_n} of n total functions N->N is fixed. A "black box" outputs the values f(0), f(1), ..., f(m), ... of some function f ...
Comparing various types of limiting synthesis and prediction of functions
(Latvia State University, 1974)
On speeding up synthesis and prediction of functions
(Latvia State University, 1974)
Probabilistic program synthesis
(Latvia State University, 1977)
The following model of inductive inference is considered. Arbitrary numbering tau = {tau_0, tau_1, tau_2, ... } of total functions N->N is fixed. A "black box" outputs the values f(0), f(1), ..., f(m), ... of some function ...
Computational complexity of prediction strategies
(Latvia State University, 1977)
The value f(m+1) is predicted from given f(1), ..., f(m). For every enumeration T(n, x) there is a strategy that predicts the n-th function of T making no more than log2(n) errors (Barzdins-Freivalds). It is proved in the ...
