111 citations · 192 across the 3 of their papers we have counts for
4 papers
Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization
T. Serizawa, H. Fujita
Convolutional neural network (CNN) is one of the most frequently used deep learning techniques. Various forms of models have been proposed and im-proved for learning at CNN. When l…
Cluster-based Zero-shot learning for multivariate data
Toshitaka Hayashi, Hamido Fujita
Supervised learning requires a sufficient training dataset which includes all label. However, there are cases that some class is not in the training data. Zero-Shot Learning (ZSL)…
Correlated Utility-based Pattern Mining
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao +2
In the field of data mining and analytics, the utility theory from Economic can bring benefits in many real-life applications. In recent decade, a new research field called utility…
ProUM: Projection-based Utility Mining on Sequence Data
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang +3
Utility is an important concept in economics. A variety of applications consider utility in real-life situations, which has lead to the emergence of utility-oriented mining (also c…