Asset Details
Do you wish to reserve the book?
A review of feature selection methods based on mutual information
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A review of feature selection methods based on mutual information
Do you wish to request the book?
A review of feature selection methods based on mutual information
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A review of feature selection methods based on mutual information
2014
Overview
In this work, we present a review of the state of the art of information-theoretic feature selection methods. The concepts of feature relevance, redundance, and complementarity (synergy) are clearly defined, as well as Markov blanket. The problem of optimal feature selection is defined. A unifying theoretical framework is described, which can retrofit successful heuristic criteria, indicating the approximations made by each method. A number of open problems in the field are presented.
Publisher
Springer London,Springer
Subject
/ Computational Biology/Bioinformatics
/ Computational Science and Engineering
/ Computer science; control theory; systems
/ Data Mining and Knowledge Discovery
/ Data processing. List processing. Character string processing
/ Exact sciences and technology
/ Image Processing and Computer Vision
/ Learning and adaptive systems
/ Memory organisation. Data processing
/ Probability and Statistics in Computer Science
/ Software
