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Machine Learning in Medicine
Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis. This third volume addresses more advanced methods and includes subjects like evolutionary programming, stochastic methods, complex sampling, optional binning, Newto...
Writers Directory
None
Corks and Curls
None
Writers for Young Adults
An index to sources of biographical information about novelists, poets, playwrights, nonfiction writers, songwriters and lyricists, television and screenwriters who are of interest to high school students and to teachers, librarians, and researchers interested in high school reading materials.
Dissertation Abstracts
Abstracts of dissertations and monographs in microform.
Distribution-free Statistical Tests
For students, statisticians, and other research workers.
