Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Index Optimization: Numerical Vector based Approaches

Index Optimization: Numerical Vector based Approaches

Jo, Taeho

Paperback

General Computers

ISBN13: 9798303759831
Publisher: Independently Published
Published: Dec 15 2024
Pages: 70
Weight: 0.23
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
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, Naïve Bayes, Learning Vector Quantization, and Perceptron, as approaches to index optimization.

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