Visual Studio Magazine

Decision Tree Regression from Scratch Using JavaScript

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
note

Learning at 60 [Data Analysis Edition] #06: Anomaly Detection Analysis Using Gradient Boosting Decision Trees (GBDT)

"What is a pivot table?" "What kind of technique is vlookup?" Since that day when I, at 56, was asking young employees⚫️ years have passed. Now in my mid-60s, I build and operate data pipelines in a ...
IEEE

Gradient-Boosted Decision Tree Optimizer for Antenna Optimization

Abstract: The use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, ...
Scientific Research Publishing

Alcolea, A. and Resano, J. (2021) FPGA Accelerator for Gradient Boosting Decision Trees. Electronics, 10, Article No. 314.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Scientific Research Publishing

Ke, G., et al. (2017) LightGBM: A highly efficient Gradient Boosting Decision Tree. Conference on Neural Information Processing Systems, Long Beach, 4-9 December 2017, 3146-3154.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
GitHub

Stochastic gradient-boosted decision trees for multivariate classification, usable standalone and via Python interface.

Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...