Correspondence Theory of Semantic Information

NOTES AND CORRESPONDENCE Evaluating Probabilistic Forecasts Using Information Theory

The problem of assessing the quality of an operational forecasting system that produces probabilistic forecasts is addressed using information theory. A measure of the quality of the forecasting scheme, based on the amount of a data compression it allows, is outlined. This measure, called ignorance, is a logarithmic scoring rule that is a modified version of relative entropy and can be calculat...

Marijuana Users' Semantic System of Addiction: Presenting a Grounded Theory

Objective: The present research aimed to discover the semantic system of addiction from the perspective of marijuana users. Method: The research method was grounded theory in which semi-structured interviews were conducted with 20 young people in the city of Rasht who had a history of marijuana use, and the data were collected by theoretical-purposive sampling and analyzed with open, axial, and...

semantic knowledge influence motion correspondence ?

Semantic factors are presumed to have little influence on motion perception. Two experiments examined the effects of an object's semantic identity on motion correspondence using the Ternus paradigm. Motion correspondence was not influenced by whether the object depicted is typically moving or stationary, but it was influenced by the way(s) in which an object's components typically move relative...

Semantic Structure from Correspondence Analysis

A common problem for clustering techniques is that clusters overlap, which makes graphing the statistical structure in the data difficult. A related problem is that we often want to see the distribution of factors (variables) as well as classes (objects). Correspondence Analysis (CA) offers a solution to both these problems. The structure that CA discovers may be an important step in representi...

Intuitionistic Correspondence Theory