Name
Title | ||
|---|---|---|
Extensive Huffman-tree-based Neural Network for the Imbalanced Dataset and Its Application in Accent Recognition |
Abstract | ||
|---|---|---|
To classify the data-set featured with a large number of heavily imbalanced classes, this paper proposed an Extensive Huffman-Tree Neural Network (EHTNN), which fabricates multiple component neural network-enabled classifiers (e.g., CNN or SVM) using an extensive Huffman tree. Any given node in EHTNN can have arbitrary number of children. Compared with the Binary Huffman-Tree Neural Network (BHTNN... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICAIIC51459.2021.9415243 | 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Keywords | DocType | ISBN |
Support vector machines,Neural networks,Vegetation,Benchmark testing,Entropy,Indexes,Artificial intelligence | Conference | 978-1-7281-7638-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeremy Merrill | 1 | 0 | 0.34 |
| Yu Liang | 2 | 21 | 12.01 |
| Dalei Wu | 3 | 523 | 50.87 |