Opening book details…
Can I read Optimization of Learning Strategies for ARTM-Based Topic Models on EtoBox?
Optimization of Learning Strategies for ARTM-Based Topic Models by Maria Khodorchenko; Sergey Teryoshkin; Timur Sokhin; Nikolay Butakov is a computer science book available to read on EtoBox.
What is Optimization of Learning Strategies for ARTM-Based Topic Models about?
<p>This book constitutes the refereed proceedings of the 15th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2020, held in Gijón, Spain, in November 2020.</p> <p>The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hy
Who reads Optimization of Learning Strategies for ARTM-Based Topic Models?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Maria Khodorchenko; Sergey Teryoshkin; Timur Sokhin; Nikolay Butakov
- Publisher
- Springer International Publishing Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030617059
- Category
- computer science
- Subjects
- Computer Science, Science, User Interfaces
- Updated
- 2026-03-25
More by Maria Khodorchenko; Sergey Teryoshkin; Timur Sokhin; Nikolay Butakov
Browse all works by Maria Khodorchenko; Sergey Teryoshkin; Timur Sokhin; Nikolay Butakov
Similar books
- Employing Decision Templates to Imbalanced Data Classification — Szymon Wojciechowski; Michał Woźniak (2020)
- Methods for Hyperparameters Optimization in Learning Approaches: An Overview — Nicoletta Del Buono; Flavia Esposito; Laura Selicato (2020)
- Advice-Based Exploration in Model-Based Reinforcement Learning — Rodrigo Toro Icarte; Toryn Q. Klassen; Richard Anthony Valenzano; Sheila A. McIlraith (2018)
- Machine Learning Model Based Expert System for Pig Disease Diagnosis — Khumukcham Robindro; Ksh. Nilakanta Singh; Leishangthem Sashikumar Singh (2021)
- Fuzzy Multi-objective Requirements for NRP Based on Particle Swarm Optimization — Yachuan Zhang; Hao Li; Rongjing Bu; Chenming Song; Tao Li; Yan Kang; Tie Chen (2020)
- VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts — Fan Jiang; Yuanlong Cao; Jianmao Xiao; Hui Yi; Gang Lei; Min Liu; Shuiguang Deng; Hao Wang (2023)