A Matrix Algebra Approach to Artificial Intelligence

Xian-D zhang

Informasi Dasar

21.21.2522
006.3
Buku - Elektronik (E-Book)
4

Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.

The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.

Subjek

ARTIFICIAL INTELLIGENCE
 

Katalog

A Matrix Algebra Approach to Artificial Intelligence
978-981-15-2770-8
844p.: pdf file.;16 MB
English

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

Xian-D zhang
Perorangan
 
 

Penerbit

Springer
New York
2020

Koleksi

Kompetensi

  • TTI1B3 - MATRIKS DAN RUANG VEKTOR
  • TTI1B3 - MATRIKS DAN RUANG VEKTOR
  • CTJ1B3 - Aljabar Linear dan Matriks

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