In addition to linear regression, seven machine learning methods as ridge regression, support vector regression, decision tree, K-nearest neighbors, random forest, adaptive boosting, and extreme gradient boostin
we assemble and analyse a continent-wide database of field experiments spanning 10 years and hundreds of thousands of machine-phenotyped populations of ten major crop species. Training an ensemble of machine learning models, using thousands of variables capturing weather, ground sensor, soil, chemi...
Driven by the success of machine learning (ML) in commercial applications (e.g., product recommendations and advertising), there are significant efforts to exploit these tools to analyze scientific data. One such effort is the emerging discipline of Materials Informatics which applies ML methods to ...
Clustering and dimensionality reduction are used in machine learning to uncover hidden patterns, reduce noise, and gain valuable insights from complex datasets.
Objective This study aimed to enhance the performance of risk assessment models in this patient population by developing a predictive model for adverse outcomes using various machine learning (ML) techniques. Methods This multicenter cohort study included 326 patients diagnosed with severe AS and HFpEF ...
we fed the feature vector to a classifier and explored ensemble methods to improve the classification performance. It was shown by experimental results that the training complexity of the PointHop method is significantly lower than that of state-of-the-art deep learning-based methods with comparable...
This special issue will provide a leading forum for timely, in-depth presentation of recent advances in explainable and interpretable machine learning and data mining. We aim to tackle these themes from the modeling and learning perspective, targeting interpretable methods and models being able to exp...
书“The Elements of Statistical Learning” by Hastie, Tibshirani, and Friedman (2009)1 视频Andrew Ng’s “Machine Learning” online courseon the online learning platform coursera.com to start with machine learning. 以上资源都是免费的! 解释机器学习模型的新方法以极快的速度发表。要跟上所有发表的文...
Advanced microstructure classification by data mining methods. Comput. Mater. Sci. 148, 324–335 (2018). Article CAS Google Scholar Yang, C. et al. A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness. Acta Mater. 222, ...
In addition, as a trained UnitedNet combines information for both multimodal group identification and cross-modal prediction, dissecting it using post hoc explainable machine learning methods can reveal the cell-type-specific, cross-modal feature-to-feature relevance, which can help to facilitate the ...