scholarly journals APPLICATION OF INFORMATION THEORY TO RADIOGRAPHIC SYSTEMS : PART 1. BASIC CONCEPT

1977 ◽  
Vol 33 (4) ◽  
pp. 508-514
Author(s):  
HITOSHI KANAMORI
2022 ◽  
Vol 24 (1) ◽  
pp. 105-118
Author(s):  
Mervat Mahdy ◽  
◽  
Dina S. Eltelbany ◽  
Hoda Mohammed ◽  
◽  
...  

Entropy measures the amount of uncertainty and dispersion of an unknown or random quantity, this concept introduced at first by Shannon (1948), it is important for studies in many areas. Like, information theory: entropy measures the amount of information in each message received, physics: entropy is the basic concept that measures the disorder of the thermodynamical system, and others. Then, in this paper, we introduce an alternative measure of entropy, called 𝐻𝑁- entropy, unlike Shannon entropy, this proposed measure of order α and β is more flexible than Shannon. Then, the cumulative residual 𝐻𝑁- entropy, cumulative 𝐻𝑁- entropy, and weighted version have been introduced. Finally, comparison between Shannon entropy and 𝐻𝑁- entropy and numerical results have been introduced.


Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 926
Author(s):  
Gwanggil Jeon

Information entropy is a basic concept in information theory associated with any random variable [...]


1977 ◽  
Vol 8 (1) ◽  
pp. 23-32
Author(s):  
Gerald E. Chappell

Test-teach questioning is a strategy that can be used to help children develop basic concepts. It fosters the use of multisensory exploration and discovery in learning which leads to the development of cognitive-linguistic skills. This article outlines some of the theoretical bases for this approach and indicates possibilities for their applications in child-clinician transactions.


Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.


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