Comparing the Performance of the Walsh and Multilinear Basis with Regression Surrogate Models for Pseudo-Boolean Optimization

Kennon, E. (Ella)

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes and years.

Bachelor Data Science and Artificial Intelligence

The following thesis was written by a student in the 2024-2025 class of the Bachelor Data Science and Artificial Intelligence programme at Leiden University.

Thesis details

Title	Comparing the Performance of the Walsh and Multilinear Basis with Regression Surrogate Models for Pseudo-Boolean Optimization
Student	Kennon, E. (Ella)
Programme	Bachelor Data Science and Artificial Intelligence
Year	2024-2025
Supervisors	Bäck, prof.dr. T.H.W. (Thomas) Dr. F. Ye (second supervisor)
Thesis	Open Thesis PDF

Citation details

Kennon, E. (Ella), Comparing the Performance of the Walsh and Multilinear Basis with Regression Surrogate Models for Pseudo-Boolean Optimization, Thesis Bachelor Data Science and Artificial Intelligence, LIACS, Leiden University, 2025.