| Description |
1 online resource (208 pages : 14 illustrations) |
|
text file |
| 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. |
| Added Author |
Ji, Shuiwang, 1977- author.
|
|
Ye, Jieping, author.
|
| ISBN |
9781439806166 (PDF) |
|
1439806160 (PDF) |
|
9781439806159 |
|
1439806152 |
|
9780429148200 |
|
0429148208 |
| Standard No. |
KE83962 |
|
9781439806166 |
|
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