This book is concerned with numerical vector-based machine learning algorithms which are applied to index optimization. The book is authored by collecting slides about the application of machine learning algorithms to index optimization; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to index optimization and is composed of five sections. Index optimization is defined as the process of classifying words into expansion, inclusion, and removal. This book ...
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This book is concerned with numerical vector-based machine learning algorithms which are applied to index optimization. The book is authored by collecting slides about the application of machine learning algorithms to index optimization; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to index optimization and is composed of five sections. Index optimization is defined as the process of classifying words into expansion, inclusion, and removal. This book covers the four machine learning algorithms, KNN Algorithm, Na???ve Bayes, Learning Vector Quantization, and Perceptron, as approaches to index optimization.
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Add this copy of Index Optimization: Numerical Vector based Approaches to cart. $44.29, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2024 by Independently Published.
