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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 321–330 of 10033 papers

TitleStatusHype
Machine learning applications for electricity market agent-based models: A systematic literature review—0
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization—0
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles—0
AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networks—0
A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning—0
Distributed Machine Learning in D2D-Enabled Heterogeneous Networks: Architectures, Performance, and Open Challenges—0
Uncertainty Estimation in Machine Learning—0
Debiased Machine Learning without Sample-Splitting for Stable Estimators—0
A High-Performance Customer Churn Prediction System based on Self-Attention—0
Prescriptive maintenance with causal machine learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified