This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Deco
Game physics ------------------------ 本书更像是一本物理学概论，游戏开发的部分偏少，下与不下你自己定夺。 ---------------------------------------- Trademarks Figures Tables Preface About the CD-ROM INTRODUCTION 1.1 a brief history of the world 1.2 a summary of the topics 1.3 Example
CONTENTS Contents v Preface to the Second Edition xv Preface to the First Edition xvii Acknowledgments for the Second Edition xxi Acknowledgments for the First Edition xxiii 1 Introduction and Preview 1.1 Preview of the Book 2 Entropy, Relative Entr
This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Deco
Knowledge graphs are structured representations of real world facts. However, they typically contain only a small subset of all possible facts. Link prediction is a task of inferring missing facts based on existing ones. We propose TuckER, a relativ
