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Mind map

Semi-Supervised Learning

Lê Bính English

Map content

Semi-Supervised Learning

  1. Choosing Good Unlabeled data

    • Sampling Function
      • IRS
        • Increase the size of S
        • X
      • SRS
        • SB criterion
          • pi, qi
        • Modified criterion
          • pi, qi and Pe
      • Hybrid = IRS +SRS
        • X
    • Multi-view technique
      • Feature Selection
        • Individual Feature Selection
      • View decomposition
        • Genetic
        • Cuckoo
        • Entropy
          • X
        • Information Theory
  2. Classifier

    • SVM
      • TSVM
      • S3VM
      • S3VM-us
      • LapSVM
    • Boosting
      • H <- H + a*h
        • Adaboost
        • Semiboost
        • Marginboost
        • SSMB
        • SSMB2
    • 3DS and 4DS
      • X
  3. 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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