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What is Inference

Inference is a term that does not have a consistent definition. To many statisticians, inference includes all aspects of model formulation, including choosing a model, choosing a neighborhood structure, estimating the corresponding model parameters, and the final step of inferring the class label of a sample inference. In the areas of probabilistic graphical models and machine learning, inference is defined as answering queries using a probabilistic model of the problem domain. That is, inference refers to computing the probability distribution over the variables of interest (the query) given the observed values of other random variables (the evidence). Marginal inference then refers to computing the distribution of a subset of variables. More specifically, given a graphical model, we often wish to answer probabilistic queries of the form P( y | x ), where y is the “label” variable and x is the “input”' variables.
Published in Chapter:
Conditional Random Fields for Modeling Structured Data
Tom Burr (Statistical Sciences, Los Alamos National Laboratory, USA) and Alexei Skurikhin (Space Data Systems, Los Alamos National Laboratory, USA)
DOI: 10.4018/978-1-4666-5888-2.ch608
More Results
The act of reasoning from facts in the knowledge base or evidence.
In general, inference is the act or process of deriving new facts from facts known or assumed to be true. In Artificial Intelligence, researchers develop automated inference engines to automate human inference.
Ability to understand implicit information.
A process of deriving a result using evidence and reasoning.
Derivation using rules and assumptions.
Decision obtained from the reflection and examination of data.
Is a procedure where constraints imposed on some source sets of elements are automatically propagated to some target set by returning related data elements as a result set. In COQL, inference operator is implemented as an access path consisting of two parts: de-projection part and projection part.
The arrival at a conclusion with only partial information but with some degree of probability