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Scalable Pattern Recognition Algorithms
Pradipta MajiSushmita Paul
其他書名
Applications in Computational Biology and Bioinformatics
出版Springer Science & Business Media, 2014-03-19
主題Science / Life Sciences / BiologyScience / Research & MethodologyComputers / Artificial Intelligence / Computer Vision & Pattern RecognitionComputers / Artificial Intelligence / GeneralComputers / Data Science / Data AnalyticsMathematics / Probability & Statistics / GeneralMedical / Radiology, Radiotherapy & Nuclear MedicineScience / Life Sciences / GeneralComputers / Computer ScienceComputers / Optical Data ProcessingComputers / Artificial Intelligence / Expert SystemsMedical / Diagnostic Imaging / General
ISBN33190563019783319056302
URLhttp://books.google.com.hk/books?id=ZbO8BAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.