Swarm Intelligence Methods for Statistical Regression / (Record no. 72206)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03379nam a2200577Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781315151274 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711212818.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190122t20182019fluab ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781315151274(e-book : PDF) |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 5.7 |
| 100 1# - AUTHOR NAME | |
| Author | Mohanty, Soumya , |
| 245 10 - TITLE STATEMENT | |
| Title | Swarm Intelligence Methods for Statistical Regression / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (136 pages) : |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc | A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large data volume that must be handled in Big Data applications further increases the difficulty of these problems. Swarm Intelligence Methods for Statistical Regression describes methods from the field of computational swarm intelligence (SI), and how they can be used to overcome the optimization bottleneck encountered in statistical analysis. Features Provides a short, self-contained overview of statistical data analysis and key results in stochastic optimization theory Focuses on methodology and results rather than formal proofs Reviews SI methods with a deeper focus on Particle Swarm Optimization (PSO) Uses concrete and realistic data analysis examples to guide the reader Includes practical tips and tricks for tuning PSO to extract good performance in real world data analysis challenges. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781315151274 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Boca Raton, FL : |
| -- | Chapman and Hall/CRC, |
| -- | [2018]. |
| 264 #4 - | |
| -- | ©2019. |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Database Management / Data Mining. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Machine Theory. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | data analysis. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | genetic algorithms. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | high-dimensional data. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | multi-agent systems. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | optimization. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | parametic regression. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Swarm intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Regression analysis. |
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