Multiview Machine Learning By Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu PDF - Zeldatech

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Friday, 1 November 2019

Multiview Machine Learning By Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu PDF

Download Book : Multiview Machine Learning By  Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu PDF




Informations about the book:


TitleMultiview Machine Learning

AuthorShiliang Sun, Liang Mao, Ziang Dong, Lidan Wu

Size: 2.3 MB

Format: PDF

Year: 2019

Pages: 155


Book Contents:


1 Introduction
2 Multiview Semi-supervised Learning
3 Multiview Subspace Learning
4 Multiview Supervised Learning
5 Multiview Clustering .
6 Multiview Active Learning
7 Multiview Transfer Learning and Multitask Learning
8 Multiview Deep Learning
9 View Construction


Description:


Multiview learning is an important branch of machine learning . During learning, multiview learning explicitly uses multiple distinct representations of data, and models the relationship between them and/or the results from downstream computations. Here, these “representation” can either be the original features of the data or the features obtained through some computations. The abrupt approach to utilize these representations is to simply concatenate them into a single representation to perform learning. However, two drawbacks of this strategy are that over-fitting may arise on relatively small training sets and the specific statistical property of each view is ignored. Furthermore, multiview learning can effectively improve the performance of learning on natural single-view data


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