Cai, Di and McCluskey, Thomas L. (2012) A Simple Method for Estimating Term Mutual Information. Journal of Computing, 4 (6). pp. 1-6. ISSN 2151-9617
|PDF - Published Version |
Download (952kB) | Preview
The ability to formally analyze and automatically measure statistical dependence of terms is a core problem in many areas of science. One of the commonly used tools for this is the expected mutual information (MI) measure. However, it seems
that MI methods have not achieved their potential. The main problem in using MI of terms is to obtain actual probability distributions estimated from training data, as the true distributions are invariably not known. This study focuses on the problem and proposes a novel but simple method for estimating probability distributions. Estimation functions are introduced; mathematical meaning of the functions is interpreted and the verification conditions are discussed. Examples are provided to illustrate the possibility of failure of applying the method if the verification conditions are not satisfied. An extension of the method is considered.
|Subjects:||Q Science > Q Science (General)|
|Schools:||School of Computing and Engineering|
School of Computing and Engineering > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
School of Computing and Engineering > Pedagogical Research Group
|Depositing User:||Di Cai|
|Date Deposited:||13 Nov 2012 16:22|
|Last Modified:||13 Nov 2012 16:22|
Downloader CountriesMore statistics for this item...
Item control for Repository Staff only: