发明名称 |
Adaptive sampling technique for selecting negative examples for artificial intelligence applications |
摘要 |
Artificial intelligence applications require use of training sets containing positive and negative examples. Negative examples are chosen using distributions of positive examples with respect to a dominant feature in feature space. Negative examples should share or approximately share, with the positive examples, values of a dominant feature in feature space. This type of training set is illustrated with respect to content recommenders, especially recommenders for television shows.
|
申请公布号 |
US2002162107(A1) |
申请公布日期 |
2002.10.31 |
申请号 |
US20010819286 |
申请日期 |
2001.03.28 |
申请人 |
KONINKLIJKE PHILIPS ELECTRONICS N.V. |
发明人 |
GUTTA SRINIVAS;LEE KWOK PUN;SCHAFFER J. DAVID |
分类号 |
G06N5/04;G06F15/18;(IPC1-7):H04N7/16;H04H9/00;G06F3/00;H04N5/445;G06F13/00 |
主分类号 |
G06N5/04 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|