From Unimodal to Multimodal Machine Learning An Overview /
With the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made significant progress in learning from texts and images in recent years. These methods enable simultane...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلف مشترك: | |
| التنسيق: | الكتروني كتاب الكتروني |
| اللغة: | الإنجليزية |
| منشور في: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
|
| الطبعة: | 1st ed. 2024. |
| سلاسل: | SpringerBriefs in Computer Science,
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/978-3-031-57016-2 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
جدول المحتويات:
- Part .I. Introduction
- Chapter.1.A brief overview of machine learning
- Chapter.2.Data modalities and representation learning
- Part II Unimodal machine learning
- Chapter.3.Learning from text
- Chapter.4.Graph-based methods
- Chapter.5 Computer vision
- Part. III. Multimodal machine learning
- Chapter.6.Multimodal learning
- Part. IV.A look forward
- Chapter.7.Future prospects.