Abstract: This study presents an innovative causal inference framework, CNN-LSTM-AM-DID, which integrates Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Attention ...
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Causal Inference and Discovery in Python helps you unlock the potential of causality. You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal ...
Abstract: - this paper proposes a novel approach in decision making in the agriculture sector by combining Bayesian inference with machine learning techniques, specifically random forest (RF). Using a ...
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