Mind map
Semi-Supervised Learning
Map content
Semi-Supervised Learning
Choosing Good Unlabeled data
- Sampling Function
- IRS
- Increase the size of S
- X
- SRS
- SB criterion
- pi, qi
- Modified criterion
- pi, qi and Pe
- SB criterion
- Hybrid = IRS +SRS
- X
- IRS
- Multi-view technique
- Feature Selection
- Individual Feature Selection
- View decomposition
- Genetic
- Cuckoo
- Entropy
- X
- Information Theory
- Feature Selection
- Sampling Function
Classifier
- SVM
- TSVM
- S3VM
- S3VM-us
- LapSVM
- Boosting
- H <- H + a*h
- Adaboost
- Semiboost
- Marginboost
- SSMB
- SSMB2
- H <- H + a*h
- 3DS and 4DS
- X
- SVM
Clustering --> Sampling
- X
Information
- Description
- Mind Map on Semi-Supervised Learning, created by Lê Bính on 25/02/2015.
- Created by
- Lê Bính · Feb 2015
- Updated
- Feb 19, 2016
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