CN114090770B - Multi-stage unsupervised domain adaptive causal relationship identification method - Google Patents
Multi-stage unsupervised domain adaptive causal relationship identification method Download PDFInfo
- Publication number
- CN114090770B CN114090770B CN202111216820.0A CN202111216820A CN114090770B CN 114090770 B CN114090770 B CN 114090770B CN 202111216820 A CN202111216820 A CN 202111216820A CN 114090770 B CN114090770 B CN 114090770B
- Authority
- CN
- China
- Prior art keywords
- training
- data
- stage
- model
- domain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000001364 causal effect Effects 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 16
- 238000012549 training Methods 0.000 claims abstract description 40
- 238000001914 filtration Methods 0.000 claims abstract description 27
- 238000013140 knowledge distillation Methods 0.000 claims abstract description 11
- 230000003042 antagnostic effect Effects 0.000 claims abstract description 8
- 238000003064 k means clustering Methods 0.000 claims abstract description 4
- 230000002708 enhancing effect Effects 0.000 claims abstract description 3
- 238000000638 solvent extraction Methods 0.000 claims abstract 3
- 239000013598 vector Substances 0.000 claims description 22
- 238000012216 screening Methods 0.000 claims description 19
- 238000004821 distillation Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 3
- 230000006978 adaptation Effects 0.000 description 5
- 238000013508 migration Methods 0.000 description 3
- 230000005012 migration Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000001094 effect on targets Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000011049 filling Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
- G06F16/355—Class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Probability & Statistics with Applications (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Description
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111216820.0A CN114090770B (en) | 2021-10-19 | 2021-10-19 | Multi-stage unsupervised domain adaptive causal relationship identification method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111216820.0A CN114090770B (en) | 2021-10-19 | 2021-10-19 | Multi-stage unsupervised domain adaptive causal relationship identification method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114090770A CN114090770A (en) | 2022-02-25 |
CN114090770B true CN114090770B (en) | 2022-11-04 |
Family
ID=80297220
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111216820.0A Active CN114090770B (en) | 2021-10-19 | 2021-10-19 | Multi-stage unsupervised domain adaptive causal relationship identification method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114090770B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115080749B (en) * | 2022-08-16 | 2022-11-08 | 之江实验室 | Weak supervision text classification method, system and device based on self-supervision training |
CN116341650B (en) * | 2023-03-23 | 2023-12-26 | 哈尔滨市科佳通用机电股份有限公司 | Noise self-training-based railway wagon bolt loss detection method |
CN117688472B (en) * | 2023-12-13 | 2024-05-24 | 华东师范大学 | Unsupervised domain adaptive multivariate time sequence classification method based on causal structure |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110414368A (en) * | 2019-07-04 | 2019-11-05 | 华中科技大学 | A kind of unsupervised pedestrian recognition methods again of knowledge based distillation |
CN112949786A (en) * | 2021-05-17 | 2021-06-11 | 腾讯科技(深圳)有限公司 | Data classification identification method, device, equipment and readable storage medium |
-
2021
- 2021-10-19 CN CN202111216820.0A patent/CN114090770B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110414368A (en) * | 2019-07-04 | 2019-11-05 | 华中科技大学 | A kind of unsupervised pedestrian recognition methods again of knowledge based distillation |
CN112949786A (en) * | 2021-05-17 | 2021-06-11 | 腾讯科技(深圳)有限公司 | Data classification identification method, device, equipment and readable storage medium |
Non-Patent Citations (2)
Title |
---|
Knowledge Transfer in Object Recognition;Xu lan;《Researchgate》;20201024;全文 * |
面向结构化数据的文本生成技术研究;陈昱宇;《中国优秀硕士学位论文全文数据库 信息科技辑》;20210115;全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN114090770A (en) | 2022-02-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN114090770B (en) | Multi-stage unsupervised domain adaptive causal relationship identification method | |
Kong et al. | Audio set classification with attention model: A probabilistic perspective | |
Belouadah et al. | Scail: Classifier weights scaling for class incremental learning | |
US8626682B2 (en) | Automatic data cleaning for machine learning classifiers | |
CN113657561B (en) | Semi-supervised night image classification method based on multi-task decoupling learning | |
CN109325516B (en) | Image classification-oriented ensemble learning method and device | |
CN103544506A (en) | Method and device for classifying images on basis of convolutional neural network | |
CN113469186B (en) | Cross-domain migration image segmentation method based on small number of point labels | |
CN113569895A (en) | Image processing model training method, processing method, device, equipment and medium | |
US20230162215A1 (en) | Methods and apparatus to perform multi-level hierarchical demographic classification | |
CN108921342A (en) | A kind of logistics customer churn prediction method, medium and system | |
CN114722805B (en) | Little sample emotion classification method based on size instructor knowledge distillation | |
CN110866113A (en) | Text classification method based on sparse self-attention mechanism fine-tuning Bert model | |
CN108364073A (en) | A kind of Multi-label learning method | |
CN115439685A (en) | Small sample image data set dividing method and computer readable storage medium | |
CN113222035A (en) | Multi-class imbalance fault classification method based on reinforcement learning and knowledge distillation | |
KR20200082490A (en) | Method for selecting machine learning training data and apparatus therefor | |
CN116561614A (en) | Small sample data processing system based on meta learning | |
CN114511023A (en) | Classification model training method and classification method | |
CN114239732A (en) | Ordered classification label determination method and device, electronic equipment and storage medium | |
de Lima et al. | Deep semi‐supervised classification based in deep clustering and cross‐entropy | |
Aoki et al. | Adaptive synapse arrangement in cortical learning algorithm | |
CN113435190B (en) | Chapter relation extraction method integrating multilevel information extraction and noise reduction | |
CN113222018B (en) | Image classification method | |
CN114116969A (en) | Corpus screening method based on multiple loss fusion text classification model results |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CB03 | Change of inventor or designer information |
Inventor after: Zhao Lulu Inventor after: Tang Zheng Inventor after: Zhou Yunfan Inventor after: Yu Jie Inventor after: Lu Qi Inventor after: Li Shengyan Inventor after: Li Xinfu Inventor after: Tian Wanyong Inventor after: Li Jianjun Inventor after: Hui Guobao Inventor before: Li Jianjun Inventor before: Tang Zheng Inventor before: Zhou Yunfan Inventor before: Yu Jie Inventor before: Lu Qi Inventor before: Li Shengyan Inventor before: Li Xinfu Inventor before: Tian Wanyong Inventor before: Zhao Lulu Inventor before: Hui Guobao |
|
TR01 | Transfer of patent right |
Effective date of registration: 20240627 Address after: No.1 Baisha Road, Yanta District, Xi'an City, Shaanxi Province Patentee after: The 20th Research Institute of China electronics technology group Corporation Country or region after: China Patentee after: HANGZHOU DIANZI University Address before: 310018 No. 2 street, Xiasha Higher Education Zone, Hangzhou, Zhejiang Patentee before: HANGZHOU DIANZI University Country or region before: China |