rgap-latex-essay
A latex essay example with citations in APA-7 style and cross references
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (0.4%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
·
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
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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
- Repositories: 27
- Profile: https://github.com/rgap
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 }
}