R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...
Weiterlesen"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised ...
WeiterlesenThis book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery ...
WeiterlesenThe4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, ...
WeiterlesenThebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
WeiterlesenThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
WeiterlesenThis book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
WeiterlesenMathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
WeiterlesenThis book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
WeiterlesenModeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
WeiterlesenThis volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. ...
WeiterlesenThe importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...
WeiterlesenThis book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...
WeiterlesenThis book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization ...
WeiterlesenThis book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
WeiterlesenCovers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. ...
WeiterlesenThis volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
WeiterlesenThis reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting ...
WeiterlesenThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
WeiterlesenPrinciples of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
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