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Application of information theory in systems biology

open access: yesBiophysical Reviews, 2020
Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by Shannon’s information theory, is a basic and powerful tool that can be applied to various fields, such as ...
Shinsuke Uda
semanticscholar   +1 more source

Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search

open access: yesCognitive Sciences, 2018
Searching for information is critical in many situations. In medicine, for instance, careful choice of a diagnostic test can help narrow down the range of plausible diseases that the patient might have.
Vincenzo Crupi   +4 more
semanticscholar   +1 more source

Computer science in K-12 school curricula of the 2lst century: Why, what and when?

open access: yesEducation and Information Technologies : Official Journal of the IFIP technical committee on Education, 2016
In this paper we have examined the position and roles of Computer Science in curricula in the light of recent calls for curriculum change and we have proposed principles and issues to consider in curriculum design as well as identifying priority areas ...
Mary E. Webb   +6 more
semanticscholar   +1 more source

Quantifying uncertainty in climate change science through empirical information theory

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2010
Quantifying the uncertainty for the present climate and the predictions of climate change in the suite of imperfect Atmosphere Ocean Science (AOS) computer models is a central issue in climate change science.
A. Majda, Boris Gershgorin
semanticscholar   +1 more source

Quantum Computation and Quantum Information [PDF]

open access: yes, 2012
Quantum computation and quantum information are of great current interest in computer science, mathematics, physical sciences and engineering. They will likely lead to a new wave of technological innovations in communication, computation and cryptography.
Yazhen Wang
semanticscholar   +1 more source

Shannon entropy: a rigorous notion at the crossroads between probability, information theory, dynamical systems and statistical physics

open access: yesMathematical Structures in Computer Science, 2014
Statistical entropy was introduced by Shannon as a basic concept in information theory measuring the average missing information in a random source. Extended into an entropy rate, it gives bounds in coding and compression theorems.
A. Lesne
semanticscholar   +1 more source

Some applications of hypercontractive inequalities in quantum information theory [PDF]

open access: yes, 2012
Hypercontractive inequalities have become important tools in theoretical computer science and have recently found applications in quantum computation. In this note we discuss how hypercontractive inequalities, in various settings, can be used to obtain ...
A. Montanaro
semanticscholar   +1 more source

First Year Computer Science and IT Students' Experience of Participation in the Discipline

open access: yes2014 International Conference on Teaching and Learning in Computing and Engineering, 2014
Previous research in STEM education demonstrates that students are engaged in a continuous process of identity development, trying to integrate their educational experiences with their perception of who they are, and who they wish to become.
Anne-Kathrin Peters   +3 more
semanticscholar   +1 more source

Giovanni Sommaruga (ed): Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information

open access: yesMinds and Machines, 2012
This new anthology on formal theories of information is based upon research presented at the May 2006 Muenchenwiler seminar of the Information and Knowledge research groups of the computer science departments of the universities of Bern, Fribourg, and ...
Sebastian Sequoiah-Grayson
semanticscholar   +1 more source

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