R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...
Lee mas"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised ...
Lee masThis book constitutes the thoroughly refereed joint postproceedings of the 5th International Workshop on Knowledge Discovery ...
Lee masThe4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, ...
Lee masThebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
Lee masThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
Lee masThis book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
Lee masMathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
Lee masThis book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
Lee masModeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
Lee masThis volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. ...
Lee masThe importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...
Lee masThis book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...
Lee masThis book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization ...
Lee masThis book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
Lee masCovers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. ...
Lee masThis volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
Lee masThis reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting ...
Lee masThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
Lee masPrinciples of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
Lee mas