عنوان

Multiview machine learning /

شابک

9789811330285

شابک

9789811330292

شابک

9789811330308

شابک

981133028X

شابک

9811330298

شابک

9811330301

شابک اشتباه

9789811330285

عنوان اصلي

Multiview machine learning /

نام عام مواد

[Book]

نام نخستين پديدآور

Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu.

محل نشرو پخش و غیره

Singapore :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2019.

نام خاص و کميت اثر

1 online resource (x, 149 pages) :

ساير جزييات

illustrations (some color)

متن يادداشت

Includes bibliographical references.

متن يادداشت

Intro; Preface; Contents; 1 Introduction; 1.1 Background; 1.2 Definition of Multiview Machine Learning and Related Concepts; 1.3 Typical Application Fields in Artificial Intelligence; 1.4 Why Can Multiview Learning Be Useful; 1.5 Book Structure; References; 2 Multiview Semi-supervised Learning; 2.1 Introduction; 2.2 Co-training Style Methods; 2.2.1 Co-training; 2.2.2 Co-EM; 2.2.3 Robust Co-training; 2.3 Co-regularization Style Methods; 2.3.1 Co-regularization; 2.3.2 Bayesian Co-training; 2.3.3 Multiview Laplacian SVM; 2.3.4 Multiview Laplacian Twin SVM; 2.4 Other Methods; References

متن يادداشت

3 Multiview Subspace Learning3.1 Introduction; 3.2 Canonical Correlation Analysis and Related Methods; 3.2.1 Canonical Correlation Analysis; 3.2.2 Kernel Canonical Correlation Analysis; 3.2.3 Probabilistic Canonical Correlation Analysis; 3.2.4 Bayesian Canonical Correlation Analysis; 3.3 Multiview Subspace Learning with Supervision; 3.3.1 Multiview Linear Discriminant Analysis; 3.3.2 Multiview Uncorrelated Linear Discriminant Analysis; 3.3.3 Hierarchical Multiview Fisher Discriminant Analysis; 3.4 Other Methods; References; 4 Multiview Supervised Learning; 4.1 Introduction

متن يادداشت

4.2 Multiview Large Margin Classifiers4.2.1 SVM-2K; 4.2.2 Multiview Maximum Entropy Discriminant; 4.2.3 Soft Margin-Consistency-Based Multiview Maximum Entropy Discrimination; 4.3 Multiple Kernel Learning; 4.3.1 Kernel Combination; 4.3.2 Linear Combination of Kernels and Support Kernel Machine; 4.3.3 SimpleMKL; 4.4 Multiview Probabilistic Models; 4.4.1 Multiview Regularized Gaussian Processes; 4.4.2 Sparse Multiview Gaussian Processes; 4.5 Other Methods; References; 5 Multiview Clustering; 5.1 Introduction; 5.2 Multiview Spectral Clustering; 5.2.1 Co-trained Spectral Clustering

متن يادداشت

5.2.2 Co-regularized Spectral Clustering5.3 Multiview Subspace Clustering; 5.3.1 Multiview Clustering via Canonical Correlation Analysis; 5.3.2 Multiview Subspace Clustering; 5.3.3 Joint Nonnegative Matrix Factorization; 5.4 Distributed Multiview Clustering; 5.5 Multiview Clustering Ensemble; 5.6 Other Methods; References; 6 Multiview Active Learning; 6.1 Introduction; 6.2 Co-testing; 6.3 Bayesian Co-training; 6.4 Multiple-View Multiple-Learner; 6.5 Active Learning with Extremely Spare Labeled Examples; 6.6 Combining Active Learning with Semi-supervising Learning; 6.7 Other Methods

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789811330292

عنوان

Multiview Machine Learning.

شماره استاندارد بين المللي کتاب و موسيقي

9789811330285

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

COM004000

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Sun, Shiliang

مستند نام اشخاص تاييد نشده

Dong, Ziang

مستند نام اشخاص تاييد نشده

Mao, Liang

مستند نام اشخاص تاييد نشده

Wu, Lidan

تاريخ عمليات

20200823234831.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y