Building Predictive Models via Feature Synthesis

By Ignacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni. 2015

95 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Steven L. Brunton
2. J. Nathan Kutz
3. Joshua L. Proctor
4. N. Mangan
5. Maizar Raissi
6. G. Em Karniadakis
7. Paris Perdikaris
8. Bingni W. Brunton

Citations in the corpus

• Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics (2016, background): “Next, a library of candidate nonlinear functions, described as features in [63], is constructed from X:”
• Model selection for dynamical systems via sparse regression and information criteria (2017, background): “Alternative model generation/selection methods such as genetic algorithms can expand the form of library functions [6,38].”