From e5e89451f4d278a0b9c273c3becb75de4506abd8 Mon Sep 17 00:00:00 2001
From: "Del Ser Lorente, Javier" <javier.delser@tecnalia.com>
Date: Thu, 4 Jul 2024 15:37:16 +0200
Subject: [PATCH] Update file README.md
---
README.md | 22 +++++++++++-----------
1 file changed, 11 insertions(+), 11 deletions(-)
diff --git a/README.md b/README.md
index abb3912..5e55d21 100644
--- a/README.md
+++ b/README.md
@@ -12,25 +12,25 @@ The code implementing the AiGAS-dEVL approach described above is currently being
- Sample at time 1: Feature1, Feature2, ... FeatureN, TrueLabel
- Sample at time 2: Feature1, Feature2, ... FeatureN, TrueLabel
-...
+- ...
- Sample at time Ts: Feature1, Feature2, ... FeatureN, TrueLabel, PredictedLabel
- Sample at time Ts+1: Feature1, Feature2, ... FeatureN, TrueLabel, PredictedLabel
- Sample at time Ts+2: Feature1, Feature2, ... FeatureN, TrueLabel, PredictedLabel
-...
+- ...
For more information, please contact the corresponding author (Maria Arostegi, maria.arostegi@tecnalia.com).
## Please cite this work as:
-@misc{arostegi2024,
- title={{AiGAS-dEVL}: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency},
- author={Maria Arostegi and Miren Nekane Bilbao and Jesus L. Lobo and Javier Del Ser},
- year={2024},
- eprint={waiting for ArXiV acceptance},
- archivePrefix={arXiv},
- primaryClass={cs.AI},
- url={https://arxiv.org},
-}
+> @misc{arostegi2024,
+> title={{AiGAS-dEVL}: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency},
+> author={Maria Arostegi and Miren Nekane Bilbao and Jesus L. Lobo and Javier Del Ser},
+> year={2024},
+> eprint={waiting for ArXiV acceptance},
+> archivePrefix={arXiv},
+> primaryClass={cs.AI},
+> url={https://arxiv.org},
+>}
--
GitLab