| Description |
1 online resource (208 pages : 14 illustrations) |
| Summary |
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks |
| Notes |
Copyright © Chapman and Hall/CRC 2014 2014 |
| Form |
Electronic book
|
| Author |
Ji, Shuiwang, 1977- author.
|
|
Ye, Jieping, author
|
| ISBN |
9781439806166 |
|
1439806160 |
|
9781439806159 |
|
1439806152 |
|
9780429148200 |
|
0429148208 |
|
