TOP
💡 邁向小一的第一步!給孩子一本「查得到自信」的專屬辭典,輕鬆跨越閱讀關卡!🚀
Latent Factor Analysis for High-Dimensional and Sparse Matrices: A Particle Swarm Optimization-Based Approach
滿額折

Latent Factor Analysis for High-Dimensional and Sparse Matrices: A Particle Swarm Optimization-Based Approach

商品資訊

定價
:NT$ 2899 元
領券後再享88折起
無庫存,下單後進貨(到貨天數約30-45天)
下單可得紅利積點 :86 點
商品簡介

商品簡介

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.

購物須知

外文書商品之書封,為出版社提供之樣本。實際出貨商品,以出版社所提供之現有版本為主。部份書籍,因出版社供應狀況特殊,匯率將依實際狀況做調整。

無庫存之商品,在您完成訂單程序之後,將以空運的方式為你下單調貨。為了縮短等待的時間,建議您將外文書與其他商品分開下單,以獲得最快的取貨速度,平均調貨時間為1~2個月。

為了保護您的權益,「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。

若要辦理退貨,請在商品鑑賞期內寄回,且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。

定價:100 2899
無庫存,下單後進貨
(到貨天數約30-45天)

暢銷榜

客服中心

收藏

會員專區