We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£62.17
Springer - Rule Extraction from Support Vector Machines (Vol 80)
3187102
Price data last checked 53 day(s) ago - refreshing...
We'll watch every seller, every day. One email when your price arrives.
This is the usual price. Wait for it to drop, or tell us your number.
£62 today · usual range £46–£63 · best ever £46
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 38 days · 38 data points (no recent data)
Price Distribution
Price distribution over 38 days • 4 price levels
Price Analysis
Most common price: £62 (12 days, 31.6%)
Price range: £46 - £63
Price levels: 4 different prices over 38 days
Description
Key Features
Explores the research area of Support Vector Machines (SVMs) within the field of machine learning.
Addresses the challenge of explainability in SVMs, which often lack a comprehensible way to show how results are reached.
Provides insights into applications of SVMs, including text and image classification tasks.
Discusses methods for extracting symbolic rules to improve the transparency of machine learning processes.
Part of the Studies in Computational Intelligence series, specifically volume 80.
Offers a technical perspective on making complex models more understandable, similar to approaches used for neural networks.
Product Specifications
- Brand
- Springer
- Model
- 3187102
- Format
- hardcover
- ASIN
- 3540753893
- Domain
- Amazon UK
- Release Date
- 04 January 2008
- Listed Since
- 17 September 2007
Barcode
No barcode data available
Similar Products You Might Like
Rule Extraction from Support Vector Machines: 80 (Studies in Computational Intelligence, 80)
Springer
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
CRC Press
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cambridge University Press
Support Vector Machines Applications
Springer
Machine Learning: A Practical Approach on the Statistical Learning Theory
Springer
Springer Support Vector Machines for Pattern Classification
Springer
CRC Press - Support Vector Machines in Chemistry and Biotech
CRC Press
The Hundred-Page Machine Learning Book
Andriy Burkov
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
Morgan Kaufmann
Recent Advances on Soft Computing and Data Mining: Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) ... in Intelligent Systems and Computing, 287)
Springer
Grokking Machine Learning
Manning
Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing: 89 (Studies in Big Data, 89)
Springer
Supervised Descriptive Pattern Mining
Springer
Model-Based Machine Learning
Chapman and Hall/CRC
Springer Support Vector Machines Applications Book
Springer
Foundations of Computational Intelligence: Volume 4: Bio-Inspired Data Mining: 204 (Studies in Computational Intelligence, 204)
Springer
Granular Computing Based Machine Learning: A Big Data Processing Approach: 35 (Studies in Big Data, 35)
Springer
Machine Learning Foundations, Volume 1: Supervised Learning
PEARSON EDUCATION
Soft Computing in Big Data Processing: 271 (Advances in Intelligent Systems and Computing, 271)
Springer
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
O'Reilly
Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro
Wiley
Feature Selection for Data and Pattern Recognition: 584 (Studies in Computational Intelligence, 584)
Springer
Springer Feature Selection for Data and Pattern Recognition 584
Springer
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining
Wiley