Titlebook: Advances in Intelligent Data Analysis X; 10th International S Jo?o Gama,Elizabeth Bradley,Jaakko Hollmén Conference proceedings 2011 Spring

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J. Conde,M. A. Colomer,C. Capdevila,A. Gilmaximum likelihood estimators, are complex and require building of parametric models of data. Instead, the methods of computational statistics replace complex statistical procedures with an amount of computation; so these methods become more popular in practical applications. The paper deals with tw

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New Developments in Latent Variable Modelsover time. We present a system that monitors the evolution of the learning process. The system is able to self-diagnosis degradations of this process, using change detection mechanisms, and self-repairs the decision models. The system uses meta-learning techniques that characterize the domain of app

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https://doi.org/10.1007/978-3-642-57280-7ectly be inspected by experts in the field. Most techniques rely on Euclidean vectors such that their suitability for complex scenarios is limited. Recently, several unsupervised approaches have successfully been extended to general, possibly non-Euclidean data characterized by pairwise dissimilarit

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The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process?ndnisse über den "Volkswillen" zurecht.Aktuelles Thema Poli.Was versteht man unter dem Begriff Volksabstimmung und welche?Mechanismen verbergen sich dahinter? In einer Zeit, in der das Vertrauen?in die repr?sentative Demokratie hinterfragt wird, analysiert?dieses Buch verschiedene Formen von Volksa

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Robustness of Change Detection AlgorithmsEr?ffnung des BMW-Werks in Spartanburg im US-Bundesstaat South Carolina. In der ?ffentlichen Diskussion werden Entscheidungen wie diese als Beleg für eine nachlassende Wettbewerbsf?higkeit des Standorts Deutschland gesehen: Deutsche Unternehmen gehen dazu über, gro?e Investitionsprojekte (wie den Ba