SG11201809890PA - Method of training random forest model, electronic device and storage medium - Google Patents
Method of training random forest model, electronic device and storage mediumInfo
- Publication number
- SG11201809890PA SG11201809890PA SG11201809890PA SG11201809890PA SG11201809890PA SG 11201809890P A SG11201809890P A SG 11201809890PA SG 11201809890P A SG11201809890P A SG 11201809890PA SG 11201809890P A SG11201809890P A SG 11201809890PA SG 11201809890P A SG11201809890P A SG 11201809890PA
- Authority
- SG
- Singapore
- Prior art keywords
- training
- random forest
- forest model
- model
- electronic device
- Prior art date
Links
- 238000007637 random forest analysis Methods 0.000 title abstract 10
- 238000000034 method Methods 0.000 title abstract 4
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Human Resources & Organizations (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Game Theory and Decision Science (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Sewing Machines And Sewing (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710147698.3A CN107632995B (zh) | 2017-03-13 | 2017-03-13 | 随机森林模型训练的方法及模型训练控制系统 |
PCT/CN2017/091362 WO2018166113A1 (zh) | 2017-03-13 | 2017-06-30 | 随机森林模型训练的方法、电子装置及存储介质 |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201809890PA true SG11201809890PA (en) | 2018-12-28 |
Family
ID=61099137
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201809890PA SG11201809890PA (en) | 2017-03-13 | 2017-06-30 | Method of training random forest model, electronic device and storage medium |
Country Status (8)
Country | Link |
---|---|
US (1) | US20210081847A1 (ja) |
EP (1) | EP3413212A4 (ja) |
JP (1) | JP6587330B2 (ja) |
KR (1) | KR102201919B1 (ja) |
CN (1) | CN107632995B (ja) |
AU (1) | AU2017404119A1 (ja) |
SG (1) | SG11201809890PA (ja) |
WO (1) | WO2018166113A1 (ja) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109377388B (zh) * | 2018-09-13 | 2023-08-18 | 深圳平安医疗健康科技服务有限公司 | 医保投保方法、装置、计算机设备和存储介质 |
US11625640B2 (en) * | 2018-10-05 | 2023-04-11 | Cisco Technology, Inc. | Distributed random forest training with a predictor trained to balance tasks |
CN109886544A (zh) * | 2019-01-17 | 2019-06-14 | 新奥数能科技有限公司 | 构建设备能效曲线模型的方法、装置、介质及电子设备 |
CN110175677A (zh) * | 2019-04-16 | 2019-08-27 | 平安普惠企业管理有限公司 | 自动更新方法、装置、计算机设备及存储介质 |
CN110070128A (zh) * | 2019-04-22 | 2019-07-30 | 深圳市绘云生物科技有限公司 | 一种基于随机森林模型的慢性肝病风险评估系统 |
CN110532445A (zh) * | 2019-04-26 | 2019-12-03 | 长佳智能股份有限公司 | 提供类神经网络训练模型的云端交易系统及其方法 |
CN110232154B (zh) * | 2019-05-30 | 2023-06-09 | 平安科技(深圳)有限公司 | 基于随机森林的产品推荐方法、装置及介质 |
KR102223161B1 (ko) * | 2019-10-11 | 2021-03-03 | 노주현 | 기상데이터에 기초한 시기성상품 예측 시스템 및 방법 |
KR20210050362A (ko) | 2019-10-28 | 2021-05-07 | 주식회사 모비스 | 앙상블 모델 프루닝 방법, 유전자 가위를 검출하는 앙상블 모델 생성 방법 및 장치 |
CN111091408A (zh) * | 2019-10-30 | 2020-05-01 | 北京天元创新科技有限公司 | 用户识别模型创建方法、装置与识别方法、装置 |
KR102092684B1 (ko) * | 2020-01-23 | 2020-03-24 | 주식회사 두두아이티 | 랜덤 포레스트 기법을 이용한 사이버 보안 훈련 장치 및 방법 |
CN111767958A (zh) * | 2020-07-01 | 2020-10-13 | 武汉楚精灵医疗科技有限公司 | 基于随机森林算法的肠镜退镜时间的实时监测方法 |
WO2022059207A1 (ja) * | 2020-09-18 | 2022-03-24 | 日本電信電話株式会社 | 判定装置、判定方法及び判定プログラム |
CN113466713B (zh) * | 2021-07-15 | 2024-04-12 | 北京工业大学 | 一种基于随机森林的锂电池安全度估算方法及装置 |
CN116759014B (zh) * | 2023-08-21 | 2023-11-03 | 启思半导体(杭州)有限责任公司 | 基于随机森林的气体种类及浓度预测方法、系统及装置 |
Family Cites Families (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080133434A1 (en) * | 2004-11-12 | 2008-06-05 | Adnan Asar | Method and apparatus for predictive modeling & analysis for knowledge discovery |
CN102221655B (zh) * | 2011-06-16 | 2013-08-07 | 河南省电力公司济源供电公司 | 基于随机森林模型的电力变压器故障诊断方法 |
EP2562690A3 (en) * | 2011-08-22 | 2014-01-22 | Siemens Aktiengesellschaft | Assigning a number of reference measurement data sets to an input measurement data set |
CN102508907B (zh) * | 2011-11-11 | 2013-11-20 | 北京航空航天大学 | 一种基于训练集优化的推荐系统的动态推荐方法 |
JP5953151B2 (ja) * | 2012-07-13 | 2016-07-20 | 日本放送協会 | 学習装置、及びプログラム |
JP5946364B2 (ja) * | 2012-08-21 | 2016-07-06 | 株式会社Nttドコモ | 時系列データ処理システム、時系列データ処理方法 |
AU2013327396B2 (en) * | 2012-10-03 | 2017-01-05 | Iselect Ltd | Systems and methods for use in marketing |
US20140279754A1 (en) * | 2013-03-15 | 2014-09-18 | The Cleveland Clinic Foundation | Self-evolving predictive model |
WO2015134665A1 (en) * | 2014-03-04 | 2015-09-11 | SignalSense, Inc. | Classifying data with deep learning neural records incrementally refined through expert input |
CN104155596B (zh) * | 2014-08-12 | 2017-01-18 | 北京航空航天大学 | 一种基于随机森林的模拟电路故障诊断系统 |
US9836701B2 (en) * | 2014-08-13 | 2017-12-05 | Microsoft Technology Licensing, Llc | Distributed stage-wise parallel machine learning |
CN105718490A (zh) * | 2014-12-04 | 2016-06-29 | 阿里巴巴集团控股有限公司 | 一种用于更新分类模型的方法及装置 |
CN105809707B (zh) * | 2014-12-30 | 2018-11-27 | 江苏慧眼数据科技股份有限公司 | 一种基于随机森林算法的行人跟踪方法 |
CN106156809A (zh) * | 2015-04-24 | 2016-11-23 | 阿里巴巴集团控股有限公司 | 用于更新分类模型的方法及装置 |
US20160350675A1 (en) * | 2015-06-01 | 2016-12-01 | Facebook, Inc. | Systems and methods to identify objectionable content |
CN105045819B (zh) * | 2015-06-26 | 2018-04-20 | 深圳市腾讯计算机系统有限公司 | 一种训练数据的模型训练方法及装置 |
CN105678567A (zh) * | 2015-12-31 | 2016-06-15 | 宁波领视信息科技有限公司 | 一种基于大数据深度学习的精准预测系统 |
CN105844300A (zh) * | 2016-03-24 | 2016-08-10 | 河南师范大学 | 一种基于随机森林算法的优化分类方法及装置 |
CN105912500B (zh) * | 2016-03-30 | 2017-11-14 | 百度在线网络技术(北京)有限公司 | 机器学习模型生成方法和装置 |
CN105931224A (zh) * | 2016-04-14 | 2016-09-07 | 浙江大学 | 基于随机森林算法的肝脏平扫ct图像病变识别方法 |
-
2017
- 2017-03-13 CN CN201710147698.3A patent/CN107632995B/zh active Active
- 2017-06-30 US US16/084,232 patent/US20210081847A1/en not_active Abandoned
- 2017-06-30 KR KR1020187017282A patent/KR102201919B1/ko active IP Right Grant
- 2017-06-30 SG SG11201809890PA patent/SG11201809890PA/en unknown
- 2017-06-30 WO PCT/CN2017/091362 patent/WO2018166113A1/zh active Application Filing
- 2017-06-30 EP EP17897210.5A patent/EP3413212A4/en not_active Ceased
- 2017-06-30 JP JP2018530893A patent/JP6587330B2/ja active Active
- 2017-06-30 AU AU2017404119A patent/AU2017404119A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
JP2019513246A (ja) | 2019-05-23 |
AU2017404119A9 (en) | 2019-06-06 |
CN107632995B (zh) | 2018-09-11 |
WO2018166113A1 (zh) | 2018-09-20 |
KR20190022431A (ko) | 2019-03-06 |
CN107632995A (zh) | 2018-01-26 |
KR102201919B1 (ko) | 2021-01-12 |
US20210081847A1 (en) | 2021-03-18 |
EP3413212A4 (en) | 2019-04-03 |
JP6587330B2 (ja) | 2019-10-09 |
AU2017404119A1 (en) | 2018-10-11 |
EP3413212A1 (en) | 2018-12-12 |
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