Machine Learning in Medicine Part Three /

• Κύριοι συγγραφείς: Cleophas, Ton J. (Συγγραφέας), Zwinderman, Aeilko H. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
• Θέματα: Medicine.; Computer graphics.; Statistics.; Biomedicine.; Biomedicine general.; Medicine/Public Health, general.; Statistics, general.; Computer Imaging, Vision, Pattern Recognition and Graphics.

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 squar...

Πίνακας περιεχομένων:

• Preface
• Introduction to Machine Learning Part Three.- Evolutionary Operations.- Multiple Treatments
• Multiple Endpoints
• Optimal Binning
• Exact P-Values
• Probit Regression
• Over - dispersion.10 Random Effects
• Weighted Least Squares
• Multiple Response Sets
• Complex Samples
• Runs Tests.- Decision Trees
• Spectral Plots
• Newton's Methods
• Stochastic Processes, Stationary Markov Chains
• Stochastic Processes, Absorbing Markov Chains
• Conjoint Models
• Machine Learning and Unsolved Questions
• Index.