2 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…