CN102184422B - 一种平均错分代价最小化的分类器集成方法 - Google Patents
一种平均错分代价最小化的分类器集成方法 Download PDFInfo
- Publication number
- CN102184422B CN102184422B CN201110126230.9A CN201110126230A CN102184422B CN 102184422 B CN102184422 B CN 102184422B CN 201110126230 A CN201110126230 A CN 201110126230A CN 102184422 B CN102184422 B CN 102184422B
- Authority
- CN
- China
- Prior art keywords
- mrow
- classifier
- label
- training
- cost
- 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.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 144
- 238000012549 training Methods 0.000 claims abstract description 77
- 230000010354 integration Effects 0.000 claims abstract description 15
- 238000007636 ensemble learning method Methods 0.000 claims description 30
- 238000010606 normalization Methods 0.000 claims description 28
- 239000011159 matrix material Substances 0.000 claims description 19
- 238000005192 partition Methods 0.000 claims description 9
- 238000000638 solvent extraction Methods 0.000 claims 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 2
- 239000002245 particle Substances 0.000 claims 1
- 239000012141 concentrate Substances 0.000 abstract description 2
- 238000002474 experimental method Methods 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 8
- 230000000694 effects Effects 0.000 description 7
- 230000001186 cumulative effect Effects 0.000 description 6
- 238000004422 calculation algorithm Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000005457 optimization Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 4
- 230000007423 decrease Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000013145 classification model Methods 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 2
- 238000009795 derivation Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000002301 combined effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012567 pattern recognition method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Sorting Of Articles (AREA)
Abstract
Description
数据集 | 样本数 | 样本属性数 | 1类样本数 | 2类样本数 | 3类样本数 | 训练集∶测试集 |
Random data | 178 | 24 | 59 | 71 | 48 | 6∶4 |
Wine | 178 | 14 | 59 | 71 | 48 | 6∶4 |
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110126230.9A CN102184422B (zh) | 2011-05-15 | 2011-05-15 | 一种平均错分代价最小化的分类器集成方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110126230.9A CN102184422B (zh) | 2011-05-15 | 2011-05-15 | 一种平均错分代价最小化的分类器集成方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102184422A CN102184422A (zh) | 2011-09-14 |
CN102184422B true CN102184422B (zh) | 2012-12-05 |
Family
ID=44570595
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201110126230.9A Expired - Fee Related CN102184422B (zh) | 2011-05-15 | 2011-05-15 | 一种平均错分代价最小化的分类器集成方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102184422B (zh) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102945255B (zh) * | 2012-10-18 | 2016-06-22 | 浙江大学 | 跨媒体多视角非完美标签学习方法 |
CN103049759B (zh) * | 2012-12-14 | 2015-11-18 | 上海邮政科学研究院 | 一种用于邮政分拣系统的邮政编码识别方法 |
CN104573709B (zh) * | 2014-12-24 | 2018-08-03 | 深圳信息职业技术学院 | 基于设置总的错分率的可控置信机器算法 |
CN105320967A (zh) * | 2015-11-04 | 2016-02-10 | 中科院成都信息技术股份有限公司 | 基于标签相关性的多标签AdaBoost集成方法 |
CN108664924B (zh) * | 2018-05-10 | 2022-07-08 | 东南大学 | 一种基于卷积神经网络的多标签物体识别方法 |
CN111181939B (zh) * | 2019-12-20 | 2022-02-25 | 广东工业大学 | 一种基于集成学习的网络入侵检测方法及装置 |
CN112668786B (zh) * | 2020-12-30 | 2023-09-26 | 国能信息技术有限公司 | 一种矿车车辆安全评估预测方法、终端设备和存储介质 |
-
2011
- 2011-05-15 CN CN201110126230.9A patent/CN102184422B/zh not_active Expired - Fee Related
Non-Patent Citations (2)
Title |
---|
付忠良等.《分类器动态组合及基于分类器组合的集成学习算法》.《四川大学学报( 工程科学版)》.2011,第43卷(第2期), * |
赵向辉等.《面向目标的带先验概率的AdaBoost 算法》.《四川大学学报( 工程科学版)》.2010,第42卷(第2期), * |
Also Published As
Publication number | Publication date |
---|---|
CN102184422A (zh) | 2011-09-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102184422B (zh) | 一种平均错分代价最小化的分类器集成方法 | |
Liu et al. | Credal c-means clustering method based on belief functions | |
Ren et al. | Grouping-based oversampling in kernel space for imbalanced data classification | |
Taneja et al. | An enhanced k-nearest neighbor algorithm using information gain and clustering | |
CN106599913B (zh) | 一种基于聚类的多标签不平衡生物医学数据分类方法 | |
Wang et al. | Input feature selection method based on feature set equivalence and mutual information gain maximization | |
Schumacher et al. | A comparative evaluation of quantification methods | |
CN102663100A (zh) | 一种两阶段混合粒子群优化聚类方法 | |
Guo et al. | Deep embedded k-means clustering | |
Sánchez-Monedero et al. | Exploitation of pairwise class distances for ordinal classification | |
CN110766042A (zh) | 一种基于最大相关最小冗余的多标记特征选择方法及装置 | |
Alshamaa et al. | A hierarchical classification method using belief functions | |
Zhao et al. | An ensemble learning approach with gradient resampling for class-imbalance problems | |
CN112633426A (zh) | 处理数据类别不均衡的方法、装置、电子设备及存储介质 | |
Singh et al. | A novel Bagged Naïve Bayes-Decision Tree approach for multi-class classification problems | |
CN110516950A (zh) | 一种面向实体解析任务的风险分析方法 | |
CN116994055A (zh) | 一种基于进化多任务集成学习的高光谱图像分类方法 | |
Hou et al. | Robust clustering of multi-type relational data via a heterogeneous manifold ensemble | |
CN105824937A (zh) | 一种基于二进制萤火虫算法的属性选择方法 | |
Ma et al. | Sample weighting with hierarchical equalization loss for dense object detection | |
Baili et al. | Fuzzy clustering with multiple kernels in feature space | |
CN105760471A (zh) | 基于组合凸线性感知器的两类文本分类方法 | |
CN106874944A (zh) | 一种基于Bagging和离群点的分类结果置信度的度量方法 | |
Lu et al. | Combining multiple clusterings using fast simulated annealing | |
Ceci et al. | Transductive relational classification in the co-training paradigm |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C56 | Change in the name or address of the patentee |
Owner name: CHENGDU INFORMATION TECHNOLOGY OF CHINESE ACADEMY Free format text: FORMER NAME: CHENGDU INFORMATION TECHNOLOGY CO., LTD., CAS |
|
CP01 | Change in the name or title of a patent holder |
Address after: 610041, No. 11, building 5, high tech building, East Road, Chengdu hi tech Zone, Sichuan Patentee after: CHENGDU INFORMATION TECHNOLOGY OF CHINESE ACADEMY OF SCIENCE Co.,Ltd. Address before: 610041, No. 11, building 5, high tech building, East Road, Chengdu hi tech Zone, Sichuan Patentee before: Chengdu Information Technology Co.,Ltd. CAS |
|
C56 | Change in the name or address of the patentee | ||
CP02 | Change in the address of a patent holder |
Address after: 1803, room 18, building 1, building 360, crystal Road, No. 610017, Hui Lu, Chengdu hi tech Zone, Sichuan Patentee after: CHENGDU INFORMATION TECHNOLOGY OF CHINESE ACADEMY OF SCIENCE Co.,Ltd. Address before: 610041, No. 11, building 5, high tech building, East Road, Chengdu hi tech Zone, Sichuan Patentee before: CHENGDU INFORMATION TECHNOLOGY OF CHINESE ACADEMY OF SCIENCE Co.,Ltd. |
|
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121205 |