15 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.LG2018★ 15 cited
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Chong Zhang, Kay Chen Tan, Haizhou Li +1
Imbalanced data with a skewed class distribution are common in many real-world applications. Deep Belief Network (DBN) is a machine learning technique that is effective in classifi…
eess.SP2018★ 5 cited
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
Chong Zhang, Geok Soon Hong, Jun-Hong Zhou +5
In this paper, a multi-state diagnosis and prognosis (MDP) framework is proposed for tool condition monitoring via a deep belief network based multi-state approach (DBNMS). For fau…
eess.SY2015★ 2 cited
Adaptive Feed Rate Policies for Spiral Drilling Using Markov Decision Process
Yedige Tlegenov, Wong Yoke San, Hong Geok Soon
In this study, the feed rate optimization model based on a Markov Decision Process (MDP) was introduced for spiral drilling process. Firstly, the experimental data on spiral drilli…