CN107203891A - 一种自动多阀值特征过滤方法及装置 - Google Patents
一种自动多阀值特征过滤方法及装置 Download PDFInfo
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- CN107203891A CN107203891A CN201610154296.1A CN201610154296A CN107203891A CN 107203891 A CN107203891 A CN 107203891A CN 201610154296 A CN201610154296 A CN 201610154296A CN 107203891 A CN107203891 A CN 107203891A
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- G—PHYSICS
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- 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
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
- G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
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Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610154296.1A CN107203891A (zh) | 2016-03-17 | 2016-03-17 | 一种自动多阀值特征过滤方法及装置 |
| TW106104931A TWI794157B (zh) | 2016-03-17 | 2017-02-15 | 自動多閾值特徵過濾方法及裝置 |
| JP2018548836A JP6890607B2 (ja) | 2016-03-17 | 2017-03-03 | 自動多閾値特徴フィルタリング方法及び装置 |
| PCT/CN2017/075517 WO2017157183A1 (zh) | 2016-03-17 | 2017-03-03 | 一种自动多阀值特征过滤方法及装置 |
| US16/132,264 US11544618B2 (en) | 2016-03-17 | 2018-09-14 | Automatic multi-threshold feature filtering method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610154296.1A CN107203891A (zh) | 2016-03-17 | 2016-03-17 | 一种自动多阀值特征过滤方法及装置 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107203891A true CN107203891A (zh) | 2017-09-26 |
Family
ID=59850590
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610154296.1A Pending CN107203891A (zh) | 2016-03-17 | 2016-03-17 | 一种自动多阀值特征过滤方法及装置 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11544618B2 (https=) |
| JP (1) | JP6890607B2 (https=) |
| CN (1) | CN107203891A (https=) |
| TW (1) | TWI794157B (https=) |
| WO (1) | WO2017157183A1 (https=) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110825966A (zh) * | 2019-10-31 | 2020-02-21 | 广州市百果园信息技术有限公司 | 一种信息推荐的方法、装置、推荐服务器和存储介质 |
| US12614108B2 (en) | 2019-10-31 | 2026-04-28 | Boe Technology Pte. Ltd. | Method for recommending information, recommendation server, and storage medium |
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| US10609475B2 (en) | 2014-12-05 | 2020-03-31 | Stages Llc | Active noise control and customized audio system |
| US10331802B2 (en) | 2016-02-29 | 2019-06-25 | Oracle International Corporation | System for detecting and characterizing seasons |
| US10699211B2 (en) | 2016-02-29 | 2020-06-30 | Oracle International Corporation | Supervised method for classifying seasonal patterns |
| US10867421B2 (en) | 2016-02-29 | 2020-12-15 | Oracle International Corporation | Seasonal aware method for forecasting and capacity planning |
| US10885461B2 (en) | 2016-02-29 | 2021-01-05 | Oracle International Corporation | Unsupervised method for classifying seasonal patterns |
| US10198339B2 (en) | 2016-05-16 | 2019-02-05 | Oracle International Corporation | Correlation-based analytic for time-series data |
| US11082439B2 (en) | 2016-08-04 | 2021-08-03 | Oracle International Corporation | Unsupervised method for baselining and anomaly detection in time-series data for enterprise systems |
| US10635563B2 (en) | 2016-08-04 | 2020-04-28 | Oracle International Corporation | Unsupervised method for baselining and anomaly detection in time-series data for enterprise systems |
| US10945080B2 (en) | 2016-11-18 | 2021-03-09 | Stages Llc | Audio analysis and processing system |
| US10915830B2 (en) | 2017-02-24 | 2021-02-09 | Oracle International Corporation | Multiscale method for predictive alerting |
| US10949436B2 (en) | 2017-02-24 | 2021-03-16 | Oracle International Corporation | Optimization for scalable analytics using time series models |
| US10817803B2 (en) * | 2017-06-02 | 2020-10-27 | Oracle International Corporation | Data driven methods and systems for what if analysis |
| US10963346B2 (en) | 2018-06-05 | 2021-03-30 | Oracle International Corporation | Scalable methods and systems for approximating statistical distributions |
| US10997517B2 (en) | 2018-06-05 | 2021-05-04 | Oracle International Corporation | Methods and systems for aggregating distribution approximations |
| US12001926B2 (en) | 2018-10-23 | 2024-06-04 | Oracle International Corporation | Systems and methods for detecting long term seasons |
| US11138090B2 (en) | 2018-10-23 | 2021-10-05 | Oracle International Corporation | Systems and methods for forecasting time series with variable seasonality |
| US11526778B2 (en) * | 2018-12-19 | 2022-12-13 | T-Mobile Usa, Inc. | Future user device preference prediction based on telecom data |
| US10855548B2 (en) | 2019-02-15 | 2020-12-01 | Oracle International Corporation | Systems and methods for automatically detecting, summarizing, and responding to anomalies |
| US11533326B2 (en) | 2019-05-01 | 2022-12-20 | Oracle International Corporation | Systems and methods for multivariate anomaly detection in software monitoring |
| US11537940B2 (en) | 2019-05-13 | 2022-12-27 | Oracle International Corporation | Systems and methods for unsupervised anomaly detection using non-parametric tolerance intervals over a sliding window of t-digests |
| US11887015B2 (en) | 2019-09-13 | 2024-01-30 | Oracle International Corporation | Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems |
| JP2021197108A (ja) | 2020-06-18 | 2021-12-27 | 富士通株式会社 | 学習プログラム、学習方法および情報処理装置 |
| JP2022007168A (ja) | 2020-06-25 | 2022-01-13 | 富士通株式会社 | 学習プログラム、学習方法および情報処理装置 |
| US12288160B2 (en) | 2021-06-16 | 2025-04-29 | International Business Machines Corporation | Transfer learning with basis scaling and pruning |
| TWI790769B (zh) * | 2021-10-07 | 2023-01-21 | 宏碁股份有限公司 | 電子郵件備份方法與電子郵件管理系統 |
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| CN1851729A (zh) * | 2006-06-01 | 2006-10-25 | 北京中星微电子有限公司 | 应用于模式识别的基于AdaBoost的特征抽取方法 |
| CN102629305A (zh) * | 2012-03-06 | 2012-08-08 | 上海大学 | 一种面向snp数据的特征选择方法 |
| CN103955714A (zh) * | 2014-04-09 | 2014-07-30 | 中国科学院信息工程研究所 | 基于水军检测模型构建方法和系统及水军检测方法 |
| CN104504373A (zh) * | 2014-12-18 | 2015-04-08 | 电子科技大学 | 一种用于fmri数据的特征选择方法 |
| CN104616031A (zh) * | 2015-01-22 | 2015-05-13 | 哈尔滨工业大学深圳研究生院 | 迁移学习方法及装置 |
| US20150206069A1 (en) * | 2014-01-17 | 2015-07-23 | Matthew BEERS | Machine learning-based patent quality metric |
| US20150379425A1 (en) * | 2014-06-30 | 2015-12-31 | Amazon Technologies, Inc. | Consistent filtering of machine learning data |
| US9275347B1 (en) * | 2015-10-09 | 2016-03-01 | AlpacaDB, Inc. | Online content classifier which updates a classification score based on a count of labeled data classified by machine deep learning |
| CN105389480A (zh) * | 2015-12-14 | 2016-03-09 | 深圳大学 | 多类不平衡基因组学数据迭代集成特征选择方法及系统 |
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| US20050281457A1 (en) * | 2004-06-02 | 2005-12-22 | Murat Dundar | System and method for elimination of irrelevant and redundant features to improve cad performance |
| JP5207870B2 (ja) * | 2008-08-05 | 2013-06-12 | 日立コンピュータ機器株式会社 | 次元削減方法、パターン認識用辞書生成装置、及びパターン認識装置 |
| KR100974900B1 (ko) * | 2008-11-04 | 2010-08-09 | 한국전자통신연구원 | 동적 임계값을 이용한 마커 인식 장치 및 방법 |
| JP2014160457A (ja) * | 2013-02-20 | 2014-09-04 | Nec Corp | 対話的変数選択装置、対話的変数選択方法および対話的変数選択プログラム |
| WO2017120579A1 (en) * | 2016-01-10 | 2017-07-13 | Presenso, Ltd. | System and method for validating unsupervised machine learning models |
-
2016
- 2016-03-17 CN CN201610154296.1A patent/CN107203891A/zh active Pending
-
2017
- 2017-02-15 TW TW106104931A patent/TWI794157B/zh active
- 2017-03-03 WO PCT/CN2017/075517 patent/WO2017157183A1/zh not_active Ceased
- 2017-03-03 JP JP2018548836A patent/JP6890607B2/ja active Active
-
2018
- 2018-09-14 US US16/132,264 patent/US11544618B2/en active Active
Patent Citations (9)
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| CN1851729A (zh) * | 2006-06-01 | 2006-10-25 | 北京中星微电子有限公司 | 应用于模式识别的基于AdaBoost的特征抽取方法 |
| CN102629305A (zh) * | 2012-03-06 | 2012-08-08 | 上海大学 | 一种面向snp数据的特征选择方法 |
| US20150206069A1 (en) * | 2014-01-17 | 2015-07-23 | Matthew BEERS | Machine learning-based patent quality metric |
| CN103955714A (zh) * | 2014-04-09 | 2014-07-30 | 中国科学院信息工程研究所 | 基于水军检测模型构建方法和系统及水军检测方法 |
| US20150379425A1 (en) * | 2014-06-30 | 2015-12-31 | Amazon Technologies, Inc. | Consistent filtering of machine learning data |
| CN104504373A (zh) * | 2014-12-18 | 2015-04-08 | 电子科技大学 | 一种用于fmri数据的特征选择方法 |
| CN104616031A (zh) * | 2015-01-22 | 2015-05-13 | 哈尔滨工业大学深圳研究生院 | 迁移学习方法及装置 |
| US9275347B1 (en) * | 2015-10-09 | 2016-03-01 | AlpacaDB, Inc. | Online content classifier which updates a classification score based on a count of labeled data classified by machine deep learning |
| CN105389480A (zh) * | 2015-12-14 | 2016-03-09 | 深圳大学 | 多类不平衡基因组学数据迭代集成特征选择方法及系统 |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110825966A (zh) * | 2019-10-31 | 2020-02-21 | 广州市百果园信息技术有限公司 | 一种信息推荐的方法、装置、推荐服务器和存储介质 |
| WO2021082500A1 (zh) * | 2019-10-31 | 2021-05-06 | 百果园技术(新加坡)有限公司 | 一种信息推荐的方法、装置、推荐服务器和存储介质 |
| CN110825966B (zh) * | 2019-10-31 | 2022-03-04 | 广州市百果园信息技术有限公司 | 一种信息推荐的方法、装置、推荐服务器和存储介质 |
| US12614108B2 (en) | 2019-10-31 | 2026-04-28 | Boe Technology Pte. Ltd. | Method for recommending information, recommendation server, and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017157183A1 (zh) | 2017-09-21 |
| TWI794157B (zh) | 2023-03-01 |
| US11544618B2 (en) | 2023-01-03 |
| JP2019513265A (ja) | 2019-05-23 |
| TW201734840A (zh) | 2017-10-01 |
| JP6890607B2 (ja) | 2021-06-18 |
| US20190042982A1 (en) | 2019-02-07 |
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Application publication date: 20170926 |