Book ChapterDOI
Additive Models, Trees, and Related Methods
Trevor Hastie,Robert Tibshirani,Jerome H. Friedman +2 more
- pp 295-336
TLDR
This chapter begins the discussion of some specific methods for supervised learning by describing five related techniques: generalized additive models, trees, multivariate adaptive regression splines, the patient rule induction method, and hierarchical mixtures of experts.Citations
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Survival and Event History Analysis: A Process Point of View
TL;DR: An introduction to survival and event history analysis can be found in this paper, where the authors present a nonparametric analysis of survival and history data using regression models and counting process models.
Journal ArticleDOI
Assessing Mongolian snow disaster risk using livestock and satellite data
TL;DR: In this article, a tree regression analysis was conducted to understand the mechanism of disastrous dzuds (mass livestock loss directly induced by harsh winter conditions but often influenced by drought in the previous summer) in Mongolia.
Journal ArticleDOI
Improving the efficiency of the operating room environment with an optimization and machine learning model
TL;DR: This work develops a generalizable optimization and machine learning approach to sequence operating room procedures to minimize delays caused by PACU unavailability and develops and solves two integer programming models to schedule procedures in the operating rooms to minimize maximum PACU occupancy.
Journal ArticleDOI
Compressive strength prediction of high-performance concrete using gradient tree boosting machine
TL;DR: In this article, a multivariate adaptive regression splines model (MARS) was used as a feature extraction method to extract the optimum inputs that use to design the high performance concrete (HPC) structures.
Journal ArticleDOI
Noninvasive Cardiac Testing vs Clinical Evaluation Alone in Acute Chest Pain: A Secondary Analysis of the ROMICAT-II Randomized Clinical Trial.
TL;DR: In patients presenting to the ED with acute chest pain, negative biomarkers, and a nonischemic ECG result, noninvasive testing with CCTA or stress testing leads to longer LOS, more downstream testing, more radiation exposure, and greater cost without an improvement in clinical outcomes.