Kommentare: Statistical Data Modeling and Machine Learning with Applications

Weitere Verfasser:	Gocheva-Ilieva, Snezhana , [HerausgeberIn]
Umfang/Format:	1 online resource (184 pages).
Schlagworte:	Information technology industries mathematical competency assessment machine learning classification and regression tree CART ensembles and bagging ensemble model multivariate adaptive regression splines cross-validation dam inflow prediction long short-term memory wavelet transform input predictor selection hyper-parameter optimization brain-computer interface EEG motor imagery CNN-LSTM architectures real-time motion imagery recognition artificial neural networks banking hedonic prices housing quantile regression data quality citizen science consensus models clustering Gower's interpolation formula Gower's metric mixed data multidimensional scaling classification data-adaptive kernel functions image data multi-category classifier predictive models support vector machine stochastic gradient descent damped Newton convexity METABRIC dataset breast cancer subtyping deep forest multi-omics data categorical data similarity feature selection kernel density estimation non-linear optimization kernel clustering n/a
Online Zugang:	DOAB: download the publication DOAB: description of the publication

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