SVM approach for predicting LogP

@article{Liao2006SVMAF,
  title={SVM approach for predicting LogP},
  author={Quan Liao and Jianhua Yao and Shengang Yuan},
  journal={Molecular Diversity},
  year={2006},
  volume={10},
  pages={301-309},
  url={https://api.semanticscholar.org/CorpusID:1196330}
}
Based upon the comparison of several prediction logP models, i.e. Support Vector Machines (SVM), Partial Least Squares (PLS) and Multiple Linear Regression (MLR), SVM model is the best one in this paper.
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34 Citations
Background Citations
4
Methods Citations
9

34 Citations

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31 References

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