说明: This thesis proposes to employ an alternative random forest method, the variable importance measure of which can be employed to reliably select relevant predictor variables in any data set. The performance of this method is compared to that of the o <raviwells> 上传 | 大小:388kb
说明: In this book you will learn how to: 1. Get up and running with TensorFlow, rapidly and painlessly. 2. Use TensorFlow to build models from the ground up. 3. Train and understand popular deep learning models for computer vision and NLP. 4. Use extensi <hefashion0190> 上传 | 大小:11mb
说明: This thesis explores different aspects of the induction of tree-based regression models from data. The main goal of this study is to improve the predictive accuracy of regression trees,while retaining as much as possible their comprehensibility and <raviwells> 上传 | 大小:117kb
说明: This chapter includes a brief overview of ensemble learning in general and presents a critique on the utility of multi-objective evolutionary algorithms for their design. <raviwells> 上传 | 大小:637kb