How Long to Read Latent Factor Analysis for High-dimensional and Sparse Matrices

How Long Does it Take to Read Latent Factor Analysis for High-dimensional and Sparse Matrices?

It takes the average reader 1 hour and 42 minutes to read Latent Factor Analysis for High-dimensional and Sparse Matrices by Ye Yuan

Assuming a reading speed of 250 words per minute. Learn more

Description

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper-parameters is truly laborious and expensive in computational terms. Hence, how to achieve efficient hyper-parameter adaptation for latent factor analysis models has become a significant question. This is the first book to focus on how particle swarm optimization can be incorporated into latent factor analysis for efficient hyper-parameter adaptation, an approach that offers high scalability in real-world industrial applications. The book will help students, researchers and engineers fully understand the basic methodologies of hyper-parameter adaptation via particle swarm optimization in latent factor analysis models. Further, it will enable them to conduct extensive research and experiments on the real-world applications of the content discussed.

How long is Latent Factor Analysis for High-dimensional and Sparse Matrices?

Latent Factor Analysis for High-dimensional and Sparse Matrices by Ye Yuan is 99 pages long, and a total of 25,641 words.

This makes it 33% the length of the average book. It also has 31% more words than the average book.

How Long Does it Take to Read Latent Factor Analysis for High-dimensional and Sparse Matrices Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 20 minutes to read Latent Factor Analysis for High-dimensional and Sparse Matrices aloud.

What Reading Level is Latent Factor Analysis for High-dimensional and Sparse Matrices?

Latent Factor Analysis for High-dimensional and Sparse Matrices is suitable for students ages 10 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.

Where Can I Buy Latent Factor Analysis for High-dimensional and Sparse Matrices?

Latent Factor Analysis for High-dimensional and Sparse Matrices by Ye Yuan is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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