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1. (WO2012115958) AUTOMATIC DATA CLEANING FOR MACHINE LEARNING CLASSIFIERS
Latest bibliographic data on file with the International Bureau   

Pub. No.:    WO/2012/115958    International Application No.:    PCT/US2012/025930
Publication Date: 30.08.2012 International Filing Date: 21.02.2012
IPC:
G06K 9/62 (2006.01), G06N 5/00 (2006.01), G06N 5/02 (2006.01)
Applicants: THOMSON REUTERS GLOBAL RESOURCES [IE/CH]; Neuhofstrasse 1 CH-6304 Baar (CH) (For All Designated States Except US).
MALIK, Hassan, H. [US/US]; (US) (For US Only).
OLOF-ORS, Mans [CH/SE]; (CH) (For US Only)
Inventors: MALIK, Hassan, H.; (US).
OLOF-ORS, Mans; (CH)
Agent: DIVITA, Bartholomew J.; Thomson Reuters 16th Floor 3 Times Square New York, NY 10036 (US)
Priority Data:
13/046,266 11.03.2011 US
61/445,236 22.02.2011 US
Title (EN) AUTOMATIC DATA CLEANING FOR MACHINE LEARNING CLASSIFIERS
(FR) NETTOYAGE DE DONNÉES AUTOMATIQUE DESTINÉ À DES CLASSIFIEURS D'APPRENTISSAGE AUTOMATIQUE
Abstract: front page image
(EN)Systems and techniques for improving the training of machine learning classifiers are disclosed. A classifier is trained using a set of validated documents that are accurately associated with a set of class labels. A subset of non-validated documents is also identified and is used to further train and improve accuracy of the classifier.
(FR)La présente invention a trait à des systèmes et à des techniques permettant d'améliorer la formation de classifieurs d'apprentissage automatique. Un classifieur est formé à l'aide d'un ensemble de documents validés qui sont précisément associés à un ensemble d'étiquettes de classe. Un sous-ensemble de documents non validés est également identifié et est utilisé de manière à former et d'améliorer encore la précision du classifieur.
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, 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 (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM)
European Patent Office (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, ML, MR, NE, SN, TD, TG).
Publication Language: English (EN)
Filing Language: English (EN)