This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

A new multi-granularity fuzzy rough feature selection method fuses algebraic and informational views, improving classification accuracy across 20 benchmark datasets.

A new nested multi-time-scale stochastic approximation method eliminates ratio-induced bias in likelihood-free parameter ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Title Workflow to apply the Uniform Manifold Approximation and Projection algorithm to compare streamflow dynamics in hydrologic catchments version 1.0.0 ...