19 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2016
Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables
Hui Shen, Dehua Li, Hong Wu +1
Auto-encoders are often used as building blocks of deep network classifier to learn feature extractors, but task-irrelevant information in the input data may lead to bad extractors…
cs.AI2016
Tournament selection in zeroth-level classifier systems based on average reward reinforcement learning
Zhaoxiang Zang, Zhao Li, Junying Wang +1
As a genetics-based machine learning technique, zeroth-level classifier system (ZCS) is based on a discounted reward reinforcement learning algorithm, bucket-brigade algorithm, whi…
cs.NE2012★ 19 cited
Learning classifier systems with memory condition to solve non-Markov problems
Zhaoxiang Zang, Dehua Li, Junying Wang
In the family of Learning Classifier Systems, the classifier system XCS has been successfully used for many applications. However, the standard XCS has no memory mechanism and can…