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Entropy
Volume 23
Issue 9
10.3390/e23091138
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Article
Peer-Review Record

TOLOMEO, a Novel Machine Learning Algorithm to Measure Information and Order in Correlated Networks and Predict Their State

Entropy 2021, 23(9), 1138; https://doi.org/10.3390/e23091138
by Mattia Miotto 1,2,*,† and Lorenzo Monacelli 1,*,†
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Entropy 2021, 23(9), 1138; https://doi.org/10.3390/e23091138
Submission received: 30 July 2021 / Revised: 24 August 2021 / Accepted: 25 August 2021 / Published: 31 August 2021
(This article belongs to the Special Issue Memory Storage Capacity in Recurrent Neural Networks)

Round 1

Reviewer 1 Report

This is a well-written and well organized paper, but I still have some suggestions:

  1. Please tell the full name of TOLOMEO at the vert beginning in the abstract for easy understanding.
  2. I notice that the dots of sentences are missing at the end of many equations.
  3. Most of the reference papers are too old form nowadays.
  4. Last but not least, please revise through the paper for any possible typos.

Author Response

This is a well-written and well organized paper, but I still have some suggestions:

We thank the Reviewer for the positive assessment of our work. We addressed all the points raised in detail below.

- Please tell the full name of TOLOMEO at the vert beginning in the abstract for easy understanding.

Done.

- I notice that the dots of sentences are missing at the end of many equations.

The Reviewer is right, we have now added them.

- Most of the reference papers are too old form nowadays.

We have now included more recent citations in correspondence to all reference older than twenty years.

-Last but not least, please revise through the paper for any possible typos.

We have now thoroughly checked the text according to the Reviewer’s suggestions. We hope readability has now improved.

Reviewer 2 Report

In this paper, the authors proposed a TOLOMEO, a novel algorithm able to infer the Maximum Entropy probability distribution of the discrete states of a network. The topic of the paper is a fit for the journal Entropy (ISSN 1099-4300). In addition, the readers are able to test TOLOMEO since authors share the data and the functionality of their proposed algorithm, with the documentation, through their website (http://2.236.83.49:8868). I personally tested TOLOMEO, and I would like to thank the authors for sharing their results.

The paper is generally well written, with a clear goal, sound analysis, and interpretation. Congratulations to the authors of exciting research. In my opinion, the article is suitable for publication.

Author Response

We really thank the Reviewer for the appraisal of our work and for testing the web server.   We have now uploaded the web server on the "Isituto Italiano di Tecnologia" server, located at:

http://circe.iit.uniroma1.it:9205

And correspondingly updated the reference in the text.

 

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