Results 11 to 20 of about 941,214 (304)
Acknowledgment to Reviewers of Computation in 2020
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Computation maintains its standards for the high quality of its published papers [...]
Computation Editorial Office
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Computation 2020 Best Paper Awards
Computation is instituting the Best Paper Awards to recognize outstanding papers published in the journal [...]
Computation Editorial Office
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Acknowledgement to Reviewers of Computation in 2017
Peer review is an essential part in the publication process, ensuring that Computation maintains high quality standards for its published papers.
Computation Editorial Office
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Acknowledgement to Reviewers of Computation in 2014
The editors of Computation would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...]
Computation Editorial Office
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Acknowledgement to Reviewers of Computation in 2015
The editors of Computation would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2015. [...]
Computation Editorial Office
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Acknowledgement to Reviewers of Computation in 2016
The editors of Computation would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2016.[...]
Computation Editorial Office
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Computational Psychiatry for Computers [PDF]
Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underlying computational problems that we face in navigating a complex, uncertain and changing world to illuminate mental dysfunction and disease. Two particular foci of the field are the costs and benefits of environmental adaptivity and the danger and ...
Eric Schulz, Peter Dayan
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Acknowledgment to Reviewers of Computation in 2021
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Computation Editorial Office
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Acknowledgment to the Reviewers of Computation in 2022
High-quality academic publishing is built on rigorous peer review [...]
Computation Editorial Office
doaj +1 more source
Bayes' Theorem (BT) is treated in probability theory and statistics. The BT shows how to change the probabilities a priori in view of new evidence, to obtain probabilities a posteriori. With the Bayesian interpretation of probability, the BT is expressed
Rui Assis +2 more
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