Name
Abstract | ||
|---|---|---|
This paper describes the application of modified comparison training for automatic feature weight tuning. The final objective is to improve the evaluation functions used in Chinese chess programs. First, we apply n-tuple networks to extract features. N-tuple networks require very little expert knowledge through its large numbers of features, while simultaneously allowing easy access. Second, we pr... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TG.2019.2893430 | IEEE Transactions on Games |
Keywords | DocType | Volume |
Training,Games,Tuning,Feature extraction,Knowledge engineering,Indexes,Machine learning | Journal | 12 |
Issue | ISSN | Citations |
2 | 2475-1502 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jr-Chang Chen | 1 | 42 | 15.19 |
| Wen-Jie Tseng | 2 | 26 | 8.89 |
| I.-C. Wu | 3 | 41 | 14.29 |
| tinghan wei | 4 | 10 | 7.89 |