Summary of Sampling Audit Evidence Using a Naive Bayes Classifier, by Guang-yih Sheu and Nai-ru Liu
Sampling Audit Evidence Using a Naive Bayes Classifierby Guang-Yih Sheu, Nai-Ru LiuFirst submitted to arxiv…
Sampling Audit Evidence Using a Naive Bayes Classifierby Guang-Yih Sheu, Nai-Ru LiuFirst submitted to arxiv…
Automatic Outlier Rectification via Optimal Transportby Jose Blanchet, Jiajin Li, Markus Pelger, Greg ZanottiFirst submitted…
Carbon Footprint Reduction for Sustainable Data Centers in Real-Timeby Soumyendu Sarkar, Avisek Naug, Ricardo Luna,…
Text-Enhanced Data-free Approach for Federated Class-Incremental Learningby Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi,…
DouRN: Improving DouZero by Residual Neural Networksby Yiquan Chen, Yingchao Lyu, Di ZhangFirst submitted to…
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Methodby Kyuwon Choi, Cheolkyun Rho,…
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersionby Hee Suk Yoon,…
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruningby Fazal Muhammad Ali…
AI and Memory Wallby Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney,…
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classificationby Ye…