Inferences are steps in logical reasoning, moving from premises to logical consequences; etymologically, the word infer means to "carry forward". Inference...

formal and informal logic. Formal logic is the study of deductively valid inferences or logical truths. It examines how conclusions follow from premises based...

Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis...

Rules of inference are ways of deriving conclusions from premises. They are integral parts of formal logic, serving as norms of the logical structure...

Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to calculate a probability...

system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable...

Type inference, sometimes called type reconstruction,: 320  refers to the automatic detection of the type of an expression in a formal language. These...

In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge...

In philosophy of science, strong inference is a model of scientific inquiry that emphasizes the need for alternative hypotheses, rather than a single...

Deductive reasoning is the process of drawing valid inferences. An inference is valid if its conclusion follows logically from its premises, meaning that...

In mathematical logic, deep inference names a general idea in structural proof theory that breaks with the classical sequent calculus by generalising...

Adverse inference is a legal inference, adverse to the concerned party, drawn from silence or absence of requested evidence. It is part of evidence codes...

Abductive reasoning (also called abduction, abductive inference, or retroduction) is a form of logical inference that seeks the simplest and most likely conclusion...

Location inference is the method of identifying the location profiles of users on social media platforms such as Twitter and Facebook from their message...

prediction, statistical syllogism, argument from analogy, and causal inference. There are also differences in how their results are regarded. A generalization...

Arbitrary inference is a classic tenet of cognitive therapy created by Aaron T. Beck in 1979. He defines the act of making an arbitrary inference as the...

Frequentist inference is a type of statistical inference based in frequentist probability, which treats “probability” in equivalent terms to “frequency”...

Trajectory inference or pseudotemporal ordering is a computational technique used in single-cell transcriptomics to determine the pattern of a dynamic...

In logic, inference is the process of deriving logical conclusions from premises known or assumed to be true. In checking a logical inference for formal...

An immediate inference is an inference which can be made from only one statement or proposition. For instance, from the statement "All toads are green"...

An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based...

Spontaneous trait inference is the term utilised in social psychology to describe the mechanism that causes individuals to form impressions of people...

Text inferencing describes the tacit or active process of logical induction or deduction during reading. Inferences are used to bridge current text ideas...

Approximate inference methods make it possible to learn realistic models from big data by trading off computation time for accuracy, when exact learning...

Uncertain inference was first described by C. J. van Rijsbergen as a way to formally define a query and document relationship in Information retrieval...

Bayesian inference with active inference, where actions are guided by predictions and sensory feedback refines them. From it, wide-ranging inferences have...

Indirect inference is a simulation-based method for estimating the parameters of economic models. It is a computational method for determining acceptable...

An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database. A subject's...

Bayesian inference refers to statistical inference where uncertainty in inferences is quantified using probability. In classical frequentist inference, model...

of the presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences...