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Sugiyama, Masashi
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Variational Bayesian learning theory
Nakajima S., Watanabe K., Sugiyama M., Cambridge University Press, New York, NY, 2019. 558 pp. Type: Book (978-1-107076-15-0)
In machine learning, variational Bayesian (VB) learning is one of the most popular methods, according to the back cover of the book. The VB learning framework poses and solves optimization problems. The book explains the optimization o...
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Sep 10 2020
Introduction to statistical machine learning
Sugiyama M., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 534 pp. Type: Book, Reviews: (2 of 2)
The huge amount of data resulting from the increase in connected computers, mobile devices, and sensors in diverse domains has facilitated a boom of machine learning in recent years. Machine learning, the topic of this book, plays a ce...
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Apr 11 2017
Introduction to statistical machine learning
Sugiyama M., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 534 pp. Type: Book, Reviews: (1 of 2)
Recently, I found myself giving an impromptu book review to someone in the bookshop near to my office. I noticed that a man was browsing through a book on machine learning that I had purchased a few months ago. I won’t mentio...
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Jan 11 2017
Multi-parametric solution-path algorithm for instance-weighted support vector machines
Karasuyama M., Harada N., Sugiyama M., Takeuchi I. Machine Learning 88(3): 297-330, 2012. Type: Article
In a weighted support vector machine (WSVM), each training instance has its own weight. So, for example, in nonstationary data analysis, earlier instances may have less weight than later ones, or in heteroscedastic data modeling, large...
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Nov 15 2012
Density ratio estimation in machine learning
Sugiyama M., Suzuki T., Kanamori T., Cambridge University Press, New York, NY, 2012. 344 pp. Type: Book (978-0-521190-17-6)
It is well known that the man-machine ratio between humans and computers has decreased very significantly in recent decades (and continues to do so). Unlike the early days of computing when there were many designers, maintainers, and u...
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Nov 2 2012
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