1. DSpace at My University

Search

Filters:

BROWSE

Search Results

Results 1-6 of 6 (Search time: 0.015 seconds).
  • Previous
  • 1
  • Next
Item hits:
  • Sách/Book

  • Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling: Theory and Applications

    • Authors: Tanmoy Som (2023)

  • This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and bioinformatics
  • Sách/Book

  • SilverComm : marketing practices and messages for the age of aging

    • Authors: Anne M. Cooper (2023)

  • The marketing world has long under-appreciated the buying power held by adults over 65 years of age. In the current age of longevity, it's essential that students engage with strategies that embrace all age groups. This text combines professional interviews, theory-based research, and practical exercises to supplement any strategic comm course
  • Sách/Book

  • A Guide to Design and Analysis of Algorithms

    • Authors: Soubhik Chakraborty (2023)

  • As there can be more than one algorithm for the same problem, designing and analyzing an algorithm becomes important in order to make it as efficient and robust as possible. This book will serve as a guide to design and analysis of computer algorithms.
  • Sách/Book

  • Mathematical aspects of deep learning

    • Authors: Philipp Grohs (2023)

  • This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research
  • Sách/Book

  • Mathematics of deep learning : an introduction

    • Authors: Leonid Berlyand; Pierre-Emmanuel Jabin. (2023)

  • The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that this compact textbook will offer a complementary point of view that emphasizes the underlying mathematical ideas.