Transfer learning /
| Main Authors: | Yang, Qiang, 1961- (Author), Zhang, Yu (Professor of computer science), 1982- (Author), Dai, Wenyuan, 1983- (Author), Pan, Sinno Jialin, 1980- (Author) |
|---|---|
| Corporate Author: | Cambridge University Press |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY :
Cambridge University Press,
2020.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Grokking deep reinforcement learning /
by: Morales, Miguel (Computer scientist)
Published: (2020)
by: Morales, Miguel (Computer scientist)
Published: (2020)
Deep learning /
by: Kelleher, John D., 1974-
Published: (2019)
by: Kelleher, John D., 1974-
Published: (2019)
Machine learning /
by: Alpaydin, Ethem
Published: (2021)
by: Alpaydin, Ethem
Published: (2021)
Machine learning : the new AI /
by: Alpaydin, Ethem
Published: (2016)
by: Alpaydin, Ethem
Published: (2016)
Multi-objective machine learning /
Published: (2006)
Published: (2006)
Innovations in machine learning : theory and applications /
Published: (2006)
Published: (2006)
Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason (Computer scientist)
Published: (2020)
by: Bell, Jason (Computer scientist)
Published: (2020)
TensorFlow 2.0 pocket primer /
by: Campesato, Oswald
Published: (2020)
by: Campesato, Oswald
Published: (2020)
TensorFlow pocket primer /
by: Campesato, Oswald
Published: (2019)
by: Campesato, Oswald
Published: (2019)
Support vector machines /
by: Steinwart, Ingo
Published: (2008)
by: Steinwart, Ingo
Published: (2008)
Machine learning refined : foundations, algorithms, and applications /
by: Watt, Jeremy, et al.
Published: (2016)
by: Watt, Jeremy, et al.
Published: (2016)
Truth from trash : how learning makes sense /
by: Thornton, Christopher James
Published: (2000)
by: Thornton, Christopher James
Published: (2000)
Recruitment learning /
by: Diederich, Joachim
Published: (2011)
by: Diederich, Joachim
Published: (2011)
Combinatorial machine learning : a rough set approach /
by: Moshkov, Mikhail
Published: (2011)
by: Moshkov, Mikhail
Published: (2011)
Machine learning : a concise introduction /
by: Knox, Steven W.
Published: (2018)
by: Knox, Steven W.
Published: (2018)
Machine learning and its applications /
by: Wlodarczak, Peter
Published: (2020)
by: Wlodarczak, Peter
Published: (2020)
Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason
Published: (2015)
by: Bell, Jason
Published: (2015)
Optimal learning /
by: Powell, Warren B., 1955-
Published: (2012)
by: Powell, Warren B., 1955-
Published: (2012)
Rule extraction from support vector machines /
Published: (2008)
Published: (2008)
Machine learning for audio, image and video analysis : theory and applications /
by: Camastra, Francesco, 1960-
Published: (2008)
by: Camastra, Francesco, 1960-
Published: (2008)
Machine learning in complex networks /
by: Christiano Silva, Thiago, et al.
Published: (2016)
by: Christiano Silva, Thiago, et al.
Published: (2016)
Machine learning : modeling data locally and globally /
Published: (2008)
Published: (2008)
Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2020)
by: Alpaydin, Ethem
Published: (2020)
Deep learning through sparse and low-rank modeling /
Published: (2019)
Published: (2019)
Fundamentals of machine learning /
by: Trappenberg, Thomas P.
Published: (2020)
by: Trappenberg, Thomas P.
Published: (2020)
Machine learning applications in electromagnetics and antenna array processing /
by: Martínez-Ramón, Manel, 1968-
Published: (2021)
by: Martínez-Ramón, Manel, 1968-
Published: (2021)
Machine Learning with R, the tidyverse, and mlr /
by: Rhys, Hefin, I.
Published: (2020)
by: Rhys, Hefin, I.
Published: (2020)
Preference learning /
Published: (2010)
Published: (2010)
The CULTURAL LIFE OF MACHINE LEARNING : an incursion into critical AI studies.
Published: (2020)
Published: (2020)
Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design /
by: Butz, Martin V.
Published: (2006)
by: Butz, Martin V.
Published: (2006)
Artificial intelligence : a guide for thinking humans /
by: Mitchell, Melanie (Computer scientist)
Published: (2019)
by: Mitchell, Melanie (Computer scientist)
Published: (2019)
Deep learning in science /
by: Baldi, Pierre
Published: (2021)
by: Baldi, Pierre
Published: (2021)
Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She
Published: (2019)
by: Yang, Xin-She
Published: (2019)
Reservoir simulations : machine learning and modeling /
by: Sun, Shuyu, et al.
Published: (2020)
by: Sun, Shuyu, et al.
Published: (2020)
Graph-Powered Machine Learning /
by: Negro, Alessandro
Published: (2021)
by: Negro, Alessandro
Published: (2021)
Metric learning /
by: Bellet, Aurélien, et al.
Published: (2015)
by: Bellet, Aurélien, et al.
Published: (2015)
Introduction to deep learning /
by: Charniak, Eugene
Published: (2018)
by: Charniak, Eugene
Published: (2018)
Learning kernel classifiers : theory and algorithms /
by: Herbrich, Ralf
Published: (2002)
by: Herbrich, Ralf
Published: (2002)
Robot intelligence : an advanced knowledge processing approach /
Published: (2010)
Published: (2010)
Understanding machine learning : from theory to algorithms /
by: Shalev-Shwartz, Shai
Published: (2014)
by: Shalev-Shwartz, Shai
Published: (2014)