6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages
Neisarg Dave, Daniel Kifer, Lee Giles +1
This study investigates the learnability of Recurrent Neural Networks (RNNs) in classifying structured formal languages, focusing on counter and Dyck languages. Traditionally, both…
cs.LG2013★ 6 cited
Bayesian Classification and Feature Selection from Finite Data Sets
Frans Coetzee, Steve Lawrence, C. Lee Giles
Feature selection aims to select the smallest subset of features for a specified level of performance. The optimal achievable classification performance on a feature subset is summ…