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Semi-Supervised Learning: Background, Applications and Future Directions [Kietas viršelis]

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  • Formatas: Hardback, 229 pages, aukštis x plotis: 230x155 mm, weight: 462 g
  • Išleidimo metai: 01-Jun-2018
  • Leidėjas: Nova Science Publishers Inc
  • ISBN-10: 1536135569
  • ISBN-13: 9781536135565
Kitos knygos pagal šią temą:
Semi-Supervised Learning: Background, Applications and Future DirectionsDidesnis paveikslėlis
  • Formatas: Hardback, 229 pages, aukštis x plotis: 230x155 mm, weight: 462 g
  • Išleidimo metai: 01-Jun-2018
  • Leidėjas: Nova Science Publishers Inc
  • ISBN-10: 1536135569
  • ISBN-13: 9781536135565
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781536135565.html
Raktažodžiai:
Preface vii
Chapter 1 Constrained Data Self-Representative Graph Construction
1(20)
L. Weng
F. Dornaika
Z. Jin
Chapter 2 Injecting Randomness into Graphs: An Ensemble Semi-Supervised Learning Framework
21(24)
Qin Zhang
Jianyuan Sun
Guoqiang Zhong
Junyu Dong
Feng Gao
Huizhen Yang
Hina Saeeda
Chapter 3 Label Propagation via Kernel Flexible Manifold Embedding
45(22)
F. Dornaika
Y. El Traboulsi
I. Arganda-Carreras
Chapter 4 Fast Graph-Based Semi-Supervised Learning and Its Applications
67(32)
Yan-Ming Zhang
Kaizhu Huang
Guang-Gang Geng
Cheng-Lin Liu
Chapter 5 Semi-Supervised Learning in Two-Class Classification with a Scarce Population Class
99(24)
Addisson Salazar
Gonzalo Safont
Luis Vergara
Chapter 6 Self-Training Field Pattern Prediction Based on Kernel Methods
123(48)
Haochuan Jiang
Kaizhu Huang
Xu-Yao Zhang
Rui Zhang
Chapter 7 Semi-Supervised Learning via Multi-Modal Curriculum Generation
171(36)
Chen Gong
Chapter 8 Semi-Supervised Learning on Big Multimedia Data for Situation Recognition
207(16)
Mengfan Tang
About the Editors 223(2)
Index 225