Direct Dataset Solving
Research into mathematical methods for deriving a function directly from noisy labeled observations, rather than discovering its parameters through iterative optimization. Initial experiments with linear datasets produced solutions comparable to gradient descent, with early polynomial extensions showing similar behavior. The research also revealed that data ordering influences the resulting solution, opening questions about deterministic solution spaces and informed initialization for iterative learning.
