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Found 2 papers, 2 papers with code
Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction
In this work, we trained a variety of machine learning models, using cross validation for hyperparameter optimization, to predict biomass yields, and we showed better accuracy than similar work that employed more complex techniques.
Learning Rules with Stratified Negation in Differentiable ILP.
Differentiable methods to learn rules (logic programs) have the potential to integrate the interpretability, transferability and low data requirements of inductive logic programming with the noise tolerance of non-symbolic learning.
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