Journal of Machine Learning Research 23 (2024) 1-4
Submitted 1/21; Revised 5/22; Published 2/3/2025

Sample JMLR Paper

Author One
ONE@STAT.WASHINGTON.EDU
Department of Statistics
University of Washington
Seattle
Author Two
TWO@CS.BERKELEY.EDU
Division of Computer Science
University of California
Berkeley

Abstract

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Keywords: machine learning, artificial intelligence, research paper

1. Introduction

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2. Methods

Our method uses the following equation:

x=1n∑i=1nxi=x1+x2+...+xnnx = \frac{1}{n}\sum_{i=1}^n x_i = \frac{x_1 + x_2 + ... + x_n}{n}

3. Results

The results show significant improvements over baseline methods.

4. Conclusion

We have demonstrated the effectiveness of our approach.

References

  1. Smith, J. (2023). Machine Learning Advances. Journal of AI.
  2. Doe, J. (2024). Deep Learning Applications. Conference on ML.

©2025 Author One and Author Two

License: CC-BY 4.0, see https://creativecommons.org/licenses/by/4.0/