It takes the average reader 3 hours and 37 minutes to read Kernel-based Data Fusion for Machine Learning by Shi Yu
Assuming a reading speed of 250 words per minute. Learn more
Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed...
Kernel-based Data Fusion for Machine Learning by Shi Yu is 214 pages long, and a total of 54,356 words.
This makes it 72% the length of the average book. It also has 66% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 57 minutes to read Kernel-based Data Fusion for Machine Learning aloud.
Kernel-based Data Fusion for Machine Learning is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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