Spectral Learning on Matrices and Tensors
2677 Kč
Sleva až 70% u třetiny knih
This book provides a theoretical and practical introduction to designing and deploying spectral learning on both matrices and tensors. It is of interest for all students, researchers and practitioners working on modern day machine learning problems.
Autor: | Janzamin, Majid; Ge, Rong; Kossaifi, Jean; Anandkumar, Anima |
Nakladatel: | now publishers Inc |
ISBN: | 9781680836400 |
Rok vydání: | 2019 |
Jazyk : | Angličtina |
Vazba: | Paperback / softback |
Počet stran: | 156 |
Mohlo by se vám také líbit..
-
Impact
Eesley, Charles E.; Miller, William F.
-
RFID and the Internet of Things
Evdokimov, Sergei; Fabian, Benjamin; Gunther, Oliver
-
Applications of Topic Models
Boyd-Graber, Jordan; Hu, Yuening; Minmo, David
-
Human-Food Interaction
Khot, Rohit Ashok; Mueller, Florian
-
QED at Large
Ringer, Talia; Palmskog, Karl; Sergey, Ilya; Gligoric, Milos; Tatlock, Zachary
-
Line Drawings from 3D Models
Benard, Pierre; Hertzmann, Aaron
-
The Chip Is the Network
Marculescu, Radu; Bogdan, Paul
-
Deep Learning
Deng, Li; Yu, Dong
-
Financing Entrepreneurship and Innov...
Lin Cong
-
Security Risk Management for the Int...
-
Network and Protocol Architectures f...
de Cola, Tomaso; Ginesi, Alberto; Giambene, Giovanni; Polyzos, George C.; Siris, Vasilios A.
-
Resource-aware Automotive Control Sy...
Chang, Wanli; Chakraborty, Samarjit