Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics - Image 1

£78.09

Springer Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Name: Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
Brand: Springer
Price: 84.04 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 43 days • 43 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 43 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £78 (26 days, 60.5%)

Price range: £78 - £84

Price levels: 2 different prices over 43 days

Description

This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319056298
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 04 April 2014
Listed Since: 21 February 2014

Barcode

No barcode data available

Springer Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications (Algorithms for Intelligent Systems)

Machine Learning in Bioinformatics (Wiley Series in Bioinformatics)

An Introduction to Pattern Recognition and Machine Learning

Data Analytics in Bioinformatics: A Machine Learning Perspective

Fundamentals of Pattern Recognition and Machine Learning

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference: 1005 (Advances in Intelligent Systems and Computing, 1005)

Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020): 1240 (Advances in Intelligent Systems and Computing, 1240)

Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence, 712)

Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence, 712)

Springer - Multiobjective Optimization Algorithms for Bioinformatics

Fundamentals of Pattern Recognition and Machine Learning

Data Mining for Bioinformatics

Practical bioinformatician, the

Practical Bioinformatician, The

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020): 1240 (Advances in Intelligent Systems and Computing, 1240)

Fundamentals of Bioinformatics and Computational Biology: Methods and Exercises in MATLAB: 6 (Modeling and Optimization in Science and Technologies)

Springer Soft Computing for Recognition based on Biometrics 312

Springer Computational Biology: Issues and Applications in Oncology

Computational Life Sciences: Data Engineering and Data Mining for Life Sciences: 112 (Studies in Big Data, 112)

Current trends in Bioinformatics: An Insight

Practical Bioinformatics For Beginners: From Raw Sequence Analysis To Machine Learning Applications

Pattern Recognition and Machine Learning (Information Science and Statistics)

Agricultural Bioinformatics