{"product_id":"latent-factor-analysis-for-high-dimensional-and-sparse-matrices-9789811967030","title":"Latent Factor Analysis for High-dimensional and Sparse Matrices","description":"\u003cp\u003eLatent 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.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53590661857559,"sku":null,"price":5012.35,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9789811967030.jpg?v=1782738293","url":"https:\/\/payment.letskitaboo.com\/ur\/products\/latent-factor-analysis-for-high-dimensional-and-sparse-matrices-9789811967030","provider":"Kitaboo One eStore","version":"1.0","type":"link"}