In this paper, I present a theoretical analysis connecting Piaget’s assimilation and accommodation constructs to Harel and Tall’s (1991) framework for generalization in advanced mathematics. I offer a …

Improving generalization (or preventing over tting) in neural nets is still somewhat of a dark art, but this lecture will cover a few simple strategies that can often help a lot.

In the top line of the diagram, just below the two-sided arrow, these six types of generalization are consolidated into three broad categories. The first, stability, includes sample and distribution …

this body of research, human generalization is typically best characterized by the same Gaussian Process model as in traditional function learning tasks, but based on the implicit learning of a value …

LEARNING THEORY: WHAT IS GENERALIZATION? [One thing humans do well is generalize. When you were a young child, you only had to see a few examples of cows before you learned to recognize …

6 days ago · Generalization to withheld mappings occurred primarily for HGNC gene name-to-gene symbol tasks, whereas fine-tuning on HPO and GO identifiers produced little generalization.

With a direct analysis of neural networks, this paper presents a mathematically tight generalization theory to partially address an open problem regarding the generalization of deep learning.