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Self-information

Known as: Selfinformation, Self informing, Information content 
In information theory, self-information or surprisal is a measure of the information content associated with an event in a probability space or with… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2006
Highly Cited
2006
Bermudagrass [Cynodon dactylon (L.) Pers.] is widely distributed in China, but little information exists on genetic diversity… 
Highly Cited
2006
Highly Cited
2006
Efforts to develop molecular tools for genetic analysis and breeding of common bean in the tropics are still limited. The number… 
Highly Cited
2003
Highly Cited
2003
Developing objective measures for evaluating the complexity of the design problems would facilitate empirical studies that… 
Review
2001
Review
2001
Abstract A survey of Gramineae markers was carried out with the aim of developing cost-effective methods for the molecular… 
Highly Cited
2001
Highly Cited
2001
Firms and individuals who sell opinions may bias their reports for either behavioral or strategic reasons. This paper proposes a… 
Highly Cited
1995
Highly Cited
1995
Information measures with respect to spatial locations and scales of objects in an image are important to image processing and… 
Review
1989
Review
1989
This book (which has been long in the making!) is a compilation of a large number of papers written over the years (1971-1981… 
Highly Cited
1984
Highly Cited
1984
Two‐photon resonance, three‐photon ionization has been used to determine the HD product internal state distribution formed by the… 
Highly Cited
1976
Highly Cited
1976
A pattern recognition system is described which is capable of identifying human faces from their full profile silhouettes. Each…