3 papers
cs.LG2025
Practical machine learning is learning on small samples
Marina Sapir
Based on limited observations, machine learning discerns a dependence which is expected to hold in the future. What makes it possible? Statistical learning theory imagines indefini…
cs.LG2018
Learnable: Theory vs Applications
Marina Sapir
Two different views on machine learning problem: Applied learning (machine learning with business applications) and Agnostic PAC learning are formalized and compared here. I show t…
cs.AI2017
Optimal choice: new machine learning problem and its solution
Marina Sapir
The task of learning to pick a single preferred example out a finite set of examples, an "optimal choice problem", is a supervised machine learning problem with complex, structured…