Inductive probability attempts to give the probability of future events based on past events. It is the basis for inductive reasoning, and gives the mathematical...

probability. Unlike deductive reasoning (such as mathematical induction), where the conclusion is certain, given the premises are correct, inductive reasoning...

different reason: inductive reasoning. A single universal prior probability that can be substituted for each actual prior probability in Bayes's rule was...

preferring one stereoisomer over another Grammar induction Inductive bias Inductive probability Inductive programming Rule induction Word-sense induction Backward...

inductive interpretation (Ramsey, Cox) and the logical interpretation (Keynes and Carnap). There are also evidential interpretations of probability covering...

Solomonoff's theory of inductive inference proves that, under its common sense assumptions (axioms), the best possible scientific model is the shortest...

mathematician who invented algorithmic probability, his General Theory of Inductive Inference (also known as Universal Inductive Inference), and was a founder...

analytically oriented probability theory. In his Essai philosophique sur les probabilités (1814), Laplace set out a mathematical system of inductive reasoning based...

Inductive logic programming (ILP) is a subfield of symbolic artificial intelligence which uses logic programming as a uniform representation for examples...

Formula in probability theory Solomonoff's theory of inductive inference – Mathematical theory Sunrise problem – Problem asking the probability that the...

An appeal to probability (or appeal to possibility, also known as possibiliter ergo probabiliter, "possibly, therefore probably") is the logical fallacy...

different probabilities. This raises the broader question of the relation of probability theory to inductive reasoning. Karl Popper argued that probability theory...

frequentist statistics (so-called probability matching priors). Such methods are used in Solomonoff's theory of inductive inference. Constructing objective...

fundamental results in probability and statistics such as the moment-generating function, method of least squares, inductive probability, and hypothesis testing...

unknown but computable probability distribution. It is a formal inductive framework that combines two well-studied principles of inductive inference: Bayesian...

related to this topic. Mathematics portal Bayesian epistemology Inductive probability Quantum Bayesianism Why Most Published Research Findings Are False...

information theory that includes quantum information Formal science Inductive probability Info-metrics Minimum message length Minimum description length Philosophy...

segmentation, etc. Algorithmic probability Algorithmic information theory Grammar induction Inductive inference Inductive probability Kolmogorov complexity –...

modern meaning of probability, which in contrast is a measure of the weight of empirical evidence, and is arrived at from inductive reasoning and statistical...

statistical inference Inductive logic programming – Learning logic programs from data Inductive probability – Determining the probability of future events...

Philosophical study of knowledge Inductive reasoning – Method of logical reasoning Inductive probability – Determining the probability of future events based on...

Studies in Inductive Logic and Probability. Vol. 1. The University of California Press. Jeffrey, Richard C., ed. (1980). Studies in Inductive Logic and...

anthropologist (1904–1980) Heuristic – Problem-solving method Inductive probability – Determining the probability of future events based on past events Illative sense –...

Frequentist probability or frequentism is an interpretation of probability; it defines an event's probability (the long-run probability) as the limit...

evolution using scientific inference, mathematical probability theory, such as Bayes' theorem, and of inductive logic. In 2004, a second edition was released...

and in most sciences. Often-discussed types are inductive, abductive, and analogical reasoning. Inductive reasoning is a form of generalization that infers...

Pure inductive logic (PIL) is the area of mathematical logic concerned with the philosophical and mathematical foundations of probabilistic inductive reasoning...

conventional quantified classical probability. Here Keynes considers under what circumstances conventional inductive reasoning might be applicable to both...

algorithms. Theoretical results in machine learning mainly deal with a type of inductive learning called supervised learning. In supervised learning, an algorithm...

unification of classic probability theory and first-order logic that is suitable for inductive reasoning. Their theory assigns probabilities or degrees of beliefs...