rgap-latex-essay

A latex essay example with citations in APA-7 style and cross references

https://github.com/rgap/rgap-latex-essay

Science Score: 18.0%

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    Low similarity (0.4%) to scientific vocabulary
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Repository

A latex essay example with citations in APA-7 style and cross references

Basic Info
  • Host: GitHub
  • Owner: rgap
  • Language: TeX
  • Default Branch: main
  • Size: 129 KB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Created over 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Citation

README.md

Latex Essay Example

An essay made in latex that follows the APA 7th edition style for all references.

Owner

  • Name: Rel Guzman
  • Login: rgap
  • Kind: user
  • Location: Internet
  • Company: @MLDL-Meetup-AQP @datawombat

Pythonist

Citation (citations.bib)

@article{stigler1983discovered,
  title={Who discovered Bayes's theorem?},
  author={Stigler, Stephen M},
  journal={The American Statistician},
  volume={37},
  number={4a},
  pages={290--296},
  year={1983},
  publisher={Taylor \& Francis}
}
@article{li2013benchmark,
  title={Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization},
  author={Li, Xiaodong and Tang, Ke and Omidvar, Mohammad N and Yang, Zhenyu and Qin, Kai and China, Hefei},
  journal={gene},
  volume={7},
  number={33},
  pages={8},
  year={2013}
}
@book{russell2010artificial,
  title={Artificial intelligence a modern approach},
  author={Russell, Stuart J},
  year={2010},
  publisher={Pearson Education, Inc.}
}
@inproceedings{gonog2019review,
  title={A review: generative adversarial networks},
  author={Gonog, Liang and Zhou, Yimin},
  booktitle={2019 14th IEEE conference on industrial electronics and applications (ICIEA)},
  pages={505--510},
  year={2019},
  organization={IEEE}
}
@article{bengio2000gradient,
  title={Gradient-based optimization of hyperparameters},
  author={Bengio, Yoshua},
  journal={Neural computation},
  volume={12},
  number={8},
  pages={1889--1900},
  year={2000},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}
@book{Rasmussen2006,
abstract = {Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams.},
author = {Rasmussen, Carl Edward and Williams., Christopher K. I.},
booktitle = {MIT Press},
file = {:Users/rgap/Dropbox/Readings/2006/Rasmussen, Williams.{\_}2006{\_}Gaussian Processes for Machine Learning.pdf:pdf},
isbn = {026218253X},
issn = {10236090},
keywords = {BO,GP},
mendeley-tags = {BO,GP},
title = {{Gaussian Processes for Machine Learning}},
year = {2006}
}
@article{shahriari2015taking,
  title={Taking the human out of the loop: A review of Bayesian optimization},
  author={Shahriari, Bobak and Swersky, Kevin and Wang, Ziyu and Adams, Ryan P and De Freitas, Nando},
  journal={Proceedings of the IEEE},
  volume={104},
  number={1},
  pages={148--175},
  year={2015},
  publisher={IEEE}
}
@article{jospin2022hands,
  title={Hands-on Bayesian neural networks—A tutorial for deep learning users},
  author={Jospin, Laurent Valentin and Laga, Hamid and Boussaid, Farid and Buntine, Wray and Bennamoun, Mohammed},
  journal={IEEE Computational Intelligence Magazine},
  volume={17},
  number={2},
  pages={29--48},
  year={2022},
  publisher={IEEE}
}
@article{andersson2022introduction,
  title={Introduction to Probability and Random Variables},
  author={Andersson, Jimmy and Andersson, Jimmy},
  journal={Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms},
  pages={19--38},
  year={2022},
  publisher={Springer}
}
@Book{ Luke2013Metaheuristics,
    author = { Sean Luke },
    title = { Essentials of Metaheuristics},
    edition = { second },
    year = { 2013 },
    publisher = { Lulu }
}

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