134 citations · 478 across the 30 of their papers we have counts for
10 papers · 1 filter
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
Jibin Wu, Emre Yilmaz, Malu Zhang +2
Artificial neural networks (ANN) have become the mainstream acoustic modeling technique for large vocabulary automatic speech recognition (ASR). A conventional ANN features a multi…
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning
Zhenzhong Wang, Min Jiang, Xing Gao +3
Dynamic multi-objective optimization problems (DMOPs) remain a challenge to be settled, because of conflicting objective functions change over time. In recent years, transfer learn…
Online Bagging for Anytime Transfer Learning
Guokun Chi, Min Jiang, Xing Gao +3
Transfer learning techniques have been widely used in the reality that it is difficult to obtain sufficient labeled data in the target domain, but a large amount of auxiliary data…
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine
Weizhen Hu, Min Jiang, Xing Gao +2
The main feature of the Dynamic Multi-objective Optimization Problems (DMOPs) is that optimization objective functions will change with times or environments. One of the promising…
Solving dynamic multi-objective optimization problems via support vector machine
Min Jiang, Weizhen Hu, Liming Qiu +2
Dynamic Multi-objective Optimization Problems (DMOPs) refer to optimization problems that objective functions will change with time. Solving DMOPs implies that the Pareto Optimal S…
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
Cheng He, Shihua Huang, Ran Cheng +2
Recently, increasing works have proposed to drive evolutionary algorithms using machine learning models. Usually, the performance of such model based evolutionary algorithms is hig…