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1. (WO2019007417) TRAINING SAMPLE GENERATION METHOD AND DEVICE BASED ON PRIVACY PROTECTION
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Pub. No.: WO/2019/007417 International Application No.: PCT/CN2018/094786
Publication Date: 10.01.2019 International Filing Date: 06.07.2018
IPC:
G06K 9/62 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
Applicants:
王力 WANG, Li [CN/CN]; CN (US)
赵沛霖 ZHAO, Peilin [CN/CN]; CN (US)
周俊 ZHOU, Jun [CN/CN]; CN (US)
李小龙 LI, Xiaolong [US/CN]; CN (US)
阿里巴巴集团控股有限公司 ALIBABA GROUP HOLDING LIMITED; 开曼群岛大开曼资本大厦一座四层847号邮箱 Fourth Floor, One Capital Place, P.O. Box 847, George Town, Grand Cayman, KY
Inventors:
王力 WANG, Li; CN
赵沛霖 ZHAO, Peilin; CN
周俊 ZHOU, Jun; CN
李小龙 LI, Xiaolong; CN
Agent:
北京国昊天诚知识产权代理有限公司 CO-HORIZON INTELLECTUAL PROPERTY INC.; 中国北京市 朝阳区小关北里甲2号渔阳置业大厦B座605 Suite 605, B Block, Yuyang Zhiye Building No. A2, Xiaoguanbeili, Chaoyang District Beijing 100029, CN
Priority Data:
201710552377.107.07.2017CN
Title (EN) TRAINING SAMPLE GENERATION METHOD AND DEVICE BASED ON PRIVACY PROTECTION
(FR) PROCÉDÉ ET DISPOSITIF DE GÉNÉRATION D’ÉCHANTILLONS D'APPRENTISSAGE SUR LA BASE DE LA PROTECTION DE LA CONFIDENTIALITÉ
(ZH) 基于隐私保护的训练样本生成方法和装置
Abstract:
(EN) Provided in the specification is a training sample generation method based on privacy protection. Mined raw data comprises m raw samples. Each raw sample comprises a d-dimensional raw vector x and an outputted flag value y, and each of m and d is a natural number. The method comprises: generating n d-dimensional conversion vectors π, each of the conversion vectors π being determined according to respective sums of y and x of a plurality of randomly selected raw samples; and taking the n d-dimensional conversion vectors π as training samples for a binary classification model.
(FR) La présente invention concerne un procédé de génération d'échantillons d'apprentissage sur la base de la protection de la confidentialité. Des données brutes extraites comprennent m échantillons bruts. Chaque échantillon brut comprend un vecteur brut x en d dimensions et une valeur d'indicateur de sortie y, m et d étant des nombres naturels. Le procédé consiste : à générer n vecteurs de conversion π en d dimensions, chaque vecteur de conversion π étant déterminé en fonction de sommes respectives de y et de x d'une pluralité d'échantillons bruts sélectionnés de manière aléatoire ; et à utiliser les n vecteurs de conversion π en d dimensions comme échantillons d'apprentissage dans un modèle de classification binaire.
(ZH) 本说明书提供一种基于隐私保护的训练样本生成方法,被挖掘的原始数据包括m个原始样本,每个原始样本包括d维的原始向量x和输出标记值y,m、d为自然数,所述方法包括:生成n个d维的转换向量π,每个转换向量π由随机选取的若干个原始样本的yx之和确定;将所述n个转换向量π作为二分类模型的训练样本。
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Chinese (ZH)
Filing Language: Chinese (ZH)