Applications of Genetic Programming to Building Decision Trees
By C. Janikow, Sandhya Malatkar. 2011
Subfields: Statistical Learning Theory, Evolutionary Computation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistical Learning Theory
Citations in the corpus
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, background): “, 2020), (2) stochastic search through the space of trees (e.g., Yang et al., 2017; Gray and Fan, 2008; Janikow and Malatkar, 2011), and (3) customized dynamic programming algorithms that incorporate branch-and-bound techniques for reducing the size of the search space (Hu et al.”