Title:
人工知能アプリケーションのための負例を選択する適応型サンプリング手法
Document Type and Number:
Japanese Patent JP2004527841
Kind Code:
A
Abstract:
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.
Inventors:
Gutta Srinivas V
Leak Wok Pee
Schaffel James Dee
Leak Wok Pee
Schaffel James Dee
Application Number:
JP2002578212A
Publication Date:
September 09, 2004
Filing Date:
March 25, 2002
Export Citation:
Assignee:
Koninklijke Philips Electronics N.V.
International Classes:
G06N5/04; G06N20/00; H04H60/31; (IPC1-7): G06N5/04
Domestic Patent References:
| JP2000013708A | 2000-01-14 |
Other References:
前田 茂: "知的番組選択支援装置", 東芝技術公開集 ＶＯＬ．１８−３, vol. 第18-3巻, JPN6007003286, 20 January 2000 (2000-01-20), JP, ISSN: 0000913815
Attorney, Agent or Firm:
Susumu Tsugaru
Akihiko Miyazaki
Hiroyoshi Aoki
Akihiko Miyazaki
Hiroyoshi Aoki