(https://i.postimg.cc/zXg8FD3D/2977kr3jwpoiy0wfizhjm4h33zabxnno.jpg)
English | 2022 | ISBN: 9811967024 | 92 Pages | PDF EPUB (True) | 23 MB
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.
DOWNLOAD
ddownload.com:
https://ddownload.com/clqnmmv5e51x/elfof.Latent.Factor.Analysis.for.Highdimensional.and.Sparse.Matrices.A.particle.swarm.optimizationbased.approach.rar (https://ddownload.com/clqnmmv5e51x/elfof.Latent.Factor.Analysis.for.Highdimensional.and.Sparse.Matrices.A.particle.swarm.optimizationbased.approach.rar)
rapidgator.net:
https://rapidgator.net/file/3b363246843a5ad2c4aba9983335c08f/elfof.Latent.Factor.Analysis.for.Highdimensional.and.Sparse.Matrices.A.particle.swarm.optimizationbased.approach.rar.html (https://rapidgator.net/file/3b363246843a5ad2c4aba9983335c08f/elfof.Latent.Factor.Analysis.for.Highdimensional.and.Sparse.Matrices.A.particle.swarm.optimizationbased.approach.rar.html)
nitroflare.com:
https://nitroflare.com/view/87F28DAF0AC2641/elfof.Latent.Factor.Analysis.for.Highdimensional.and.Sparse.Matrices.A.particle.swarm.optimizationbased.approach.rar (https://nitroflare.com/view/87F28DAF0AC2641/elfof.Latent.Factor.Analysis.for.Highdimensional.and.Sparse.Matrices.A.particle.swarm.optimizationbased.approach.rar)