HOME > 상세정보

상세정보

Feature learning and understanding : algorithms and applications

Feature learning and understanding : algorithms and applications

자료유형
단행본
개인저자
Zhao, Haitao, 1986-.
서명 / 저자사항
Feature learning and understanding : algorithms and applications / Haitao Zhao ... [et al.].
발행사항
Cham :   Springer,   2020.  
형태사항
xiv, 291 p. : ill. (some col.) ; 25 cm.
ISBN
9783030407933
서지주기
Includes bibliographical references and index.
일반주제명
Machine learning. Big data.
000 00000nam u2200205 a 4500
001 000046061502
005 20201228105231
008 201222s2020 sz a b 001 0 eng d
020 ▼a 9783030407933
040 ▼a 211009 ▼c 211009 ▼d 211009
082 0 4 ▼a 006.3/1 ▼2 23
084 ▼a 006.31 ▼2 DDCK
090 ▼a 006.31 ▼b F288
245 0 0 ▼a Feature learning and understanding : ▼b algorithms and applications / ▼c Haitao Zhao ... [et al.].
260 ▼a Cham : ▼b Springer, ▼c 2020.
300 ▼a xiv, 291 p. : ▼b ill. (some col.) ; ▼c 25 cm.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Machine learning.
650 0 ▼a Big data.
700 1 ▼a Zhao, Haitao, ▼d 1986-.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.31 F288 등록번호 111840667 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Chapter1. A Gentle Introduction to Feature Learning.- Chapter2. Latent Semantic Feature Learning.- Chapter3. Principal Component Analysis.- Chapter4. Local-Geometrical-Structure-based Feature Learning.- Chapter5. Linear Discriminant Analysis.- Chapter6. Kernel-based nonlinear feature learning.- Chapter7. Sparse feature learning.- Chapter8. Low rank feature learning.- Chapter9. Tensor-based Feature Learning.- Chapter10. Neural-network-based Feature Learning: Autoencoder.- Chapter11. Neural-network-based Feature Learning: Convolutional Neural Network.- Chapter12. Neural-network-based Feature Learning: Recurrent Neural Network.

관련분야 신착자료

Cartwright, Hugh M. (2021)
한국소프트웨어기술인협회. 빅데이터전략연구소 (2021)