Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin's A Gentle Introduction to Support Vector Machines in PDF

By Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin

Support Vector Machines (SVMs) are one of the most crucial contemporary advancements in trend attractiveness and statistical computer studying. they've got stumbled on an outstanding diversity of functions in numerous fields together with biology and drugs. although, biomedical researchers usually event problems greedy either the speculation and purposes of those very important equipment due to loss of technical historical past. the aim of this ebook is to introduce SVMs and their extensions and make allowance biomedical researchers to appreciate and practice them in real-life examine in a very simple demeanour. The e-book is to encompass volumes: idea and techniques (Volume 1) and case reviews (Volume 2).

Contents:

  • Preliminaries:
    • Introduction and ebook Overview
    • Methods utilized in this Book
  • Case reviews and Comparative review in High-Throughput Genomic Data:
    • Application and comparability of SVMs and different equipment for Multicategory Microarray-Based melanoma Classification
    • Comparison of SVMs and Random Forests for Microarray-Based melanoma Classification
    • Comparison of SVMs and Kernel Ridge Regression for Microarray-Based melanoma category (Contributed through Zhiguo Li)
    • Application and comparability of SVMs and different equipment for Multicategory type in Microbiomics (Contributed through Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V Alekseyenko)
    • Application to overview of Plasma Proteome Stability
  • Case stories and Comparative review in textual content Data:
    • Application and comparability of SVMs and different equipment for Retrieving top of the range Content-Specific Articles (Contributed by means of Yindalon Aphinyanaphongs)
    • Application and comparability of SVMs and different tools for picking Unproven melanoma remedies on the internet (Contributed via Yindalon Aphinyanaphongs)
    • Application to Predicting destiny Article Citations (Contributed by way of Lawrence Fu)
    • Application to Classifying Instrumentality of Article Citations (Contributed via Lawrence Fu)
    • Application and comparability of SVMs and different equipment for deciding on Drug–Drug Interactions-Related Literature (Contributed via Stephany Duda)
  • Case reports with medical Data::
    • Application to Predicting medical Laboratory Values
    • Application to Modeling medical Judgment and instruction Compliance within the prognosis of cancer (Contributed through Andrea Sboner)
  • Other Comparative assessment experiences of wide Applicability:
    • Using SVMs for Causal Variable Selection
    • Application and comparability of SVM-RFE and GLL Methods

Readership: Biomedical researchers and healthcare execs who wish to find out about SVMs and correct bioinformatics instruments yet would not have the mandatory technical background.

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A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks by Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin


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