Publikationen


Suche nach „[2012]“ hat 123 Publikationen gefunden
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    IQWSonstige

    Zeitschriftenartikel

    Andreas Gegenfurtner, M. Vauras

    Age-related differences in the relation between motivation to learn and transfer of training in adult continuing education

    Contemporary Educational Psychology, vol. 37, no. 1, pp. 33-46

    2012

    Abstract anzeigen

    This meta-analysis (k = 38, N = 6977) examined age-related differences in the relation between motivation to learn and transfer of training, using data derived from the literature on adult continuing education of the past 25 years. Based on socioemotional selectivity theory, a lifespan approach to expectancy theory, and research on interest and workplace curiosity, two views on motivational change over the trajectory of a working life were evaluated: the view of age-related motivational decline and the view of age-related motivational maintenance. Results showed a main effect of age on motivation to learn (β = .44) and a moderating effect of age (β = .59) on the relation between motivation to learn and transfer of training (ρ = 0.33). Both effects were in the positive direction, indicating support for the view of age-related motivational maintenance. Age-related differences were moderated by boundary conditions of training design (social training vs. individual training), study characteristics (publication source, study setting, SS/SMC bias, use of control groups, survey modality, instrument), and participant characteristics (level of education, attendance policy, work context). The findings are discussed in terms of their implications for theories of age-related changes in training motivation and their significance for the design of training programs for older learners.

    IQWSonstige

    Zeitschriftenartikel

    Andreas Gegenfurtner, M. Seppänen

    Seeing through a teacher's eyes improves students' imaging interpretation

    Medical Education, vol. 46, no. 11, pp. 1113-1114

    2012

    Abstract anzeigen

    This meta-analysis (k=38, N=6977) examined age-related differences in the relation between motivation to learn and transfer of training, using data derived from the literature on adult continuing education of the past 25years. Based on socioemotional selectivity theory, a lifespan approach to expectancy theory, and research on interest and workplace curiosity, two views on motivational change over the trajectory of a working life were evaluated: the view of age-related motivational decline and the view of age-related motivational maintenance. Results showed a main effect of age on motivation to learn (β=.44) and a moderating effect of age (β=.59) on the relation between motivation to learn and transfer of training (ρ=0.33). Both effects were in the positive direction, indicating support for the view of age-related motivational maintenance. Age-related differences were moderated by boundary conditions of training design (social training vs. individual training), study characteristics (publication source, study setting, SS/SMC bias, use of control groups, survey modality, instrument), and participant characteristics (level of education, attendance policy, work context). The findings are discussed in terms of their implications for theories of age-related changes in training motivation and their significance for the design of training programs for older learners.

    Angewandte Naturwissenschaften und Wirtschaftsingenieurwesen

    Patent

    Manfred Eder

    Verfahren und Vorrichtung zur elektrokinetischen Desintegration der Zellbestandteile wässeriger Suspensionen ohne verfahrensbedingte Vorzerkleinerung

    2012

    Maschinenbau und Mechatronik

    Zeitschriftenartikel

    Simone Walker-Hertkorn, D. Kuntz, Z. Lemeš, A. Gordon

    Erste hessische Tiefbohrung einer koaxialen Tiefen-Erdwärmesonde

    bbr - Fachmagazin für Brunnen- und Leitungsbau (Sonderausgabe Oberflächennahe Geothermie), vol. 63

    2012

    TC Grafenau

    Zeitschriftenartikel

    A. Christmann, Robert Hable

    Consistency of support vector machines using additive kernels for additive models

    Computational Statistics & Data Analysis, vol. 56, no. 4, pp. 854-873

    2012

    DOI: 10.1016/j.csda.2011.04.006

    Abstract anzeigen

    Support vector machines (SVMs) are special kernel based methods and have been among the most successful learning methods for more than a decade. SVMs can informally be described as kinds of regularized MM-estimators for functions and have demonstrated their usefulness in many complicated real-life problems. During the last few years a great part of the statistical research on SVMs has concentrated on the question of how to design SVMs such that they are universally consistent and statistically robust for nonparametric classification or nonparametric regression purposes. In many applications, some qualitative prior knowledge of the distribution View the MathML sourceP or of the unknown function ff to be estimated is present or a prediction function with good interpretability is desired, such that a semiparametric model or an additive model is of interest. The question of how to design SVMs by choosing the reproducing kernel Hilbert space (RKHS) or its corresponding kernel to obtain consistent and statistically robust estimators in additive models is addressed. An explicit construction of such RKHSs and their kernels, which will be called additive kernels, is given. SVMs based on additive kernels will be called additive support vector machines . The use of such additive kernels leads, in combination with a Lipschitz continuous loss function, to SVMs with the desired properties for additive models. Examples include quantile regression based on the pinball loss function, regression based on the ϵϵ-insensitive loss function, and classification based on the hinge loss function.

    TC Grafenau

    Zeitschriftenartikel

    Robert Hable

    Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods

    Journal of Multivariate Analysis, vol. 106, no. April, pp. 92-117

    2012

    DOI: 10.1016/j.jmva.2011.11.004

    Abstract anzeigen

    In nonparametric classification and regression problems, regularized kernel methods, in particular support vector machines, attract much attention in theoretical and in applied statistics. In an abstract sense, regularized kernel methods (simply called SVMs here) can be seen as regularized M-estimators for a parameter in a (typically infinite dimensional) reproducing kernel Hilbert space. For smooth loss functions LL, it is shown that the difference between the estimator, i.e. the empirical SVM View the MathML sourcefL,Dn,λDn, and the theoretical SVM fL,P,λ0fL,P,λ0 is asymptotically normal with rate View the MathML sourcen. That is, View the MathML sourcen(fL,Dn,λDn−fL,P,λ0) converges weakly to a Gaussian process in the reproducing kernel Hilbert space. As common in real applications, the choice of the regularization parameter View the MathML sourceDn in View the MathML sourcefL,Dn,λDn may depend on the data. The proof is done by an application of the functional delta-method and by showing that the SVM-functional P↦fL,P,λP↦fL,P,λ is suitably Hadamard-differentiable.

    TC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, W. Cheng, E. Hüllermeier

    Preference Learning using the Choquet Integral: The Case of Multipartite Ranking

    IEEE Transactions on Fuzzy Systems, vol. 20, no. 6, pp. 1102-1113

    2012

    DOI: 10.1109/TFUZZ.2012.2196050

    Abstract anzeigen

    We propose a novel method for preference learning or, more specifically, learning to rank, where the task is to learn a ranking model that takes a subset of alternatives as input and produces a ranking of these alternatives as output. Just like in the case of conventional classifier learning, training information is provided in the form of a set of labeled instances, with labels or, say, preference degrees taken from an ordered categorical scale. This setting is known as multipartite ranking in the literature. Our approach is based on the idea of using the (discrete) Choquet integral as an underlying model for representing ranking functions. Being an established aggregation function in fields such as multiple criteria decision making and information fusion, the Choquet integral offers a number of interesting properties that make it attractive from a machine learning perspective, too. The learning problem itself comes down to properly specifying the fuzzy measure on which the Choquet integral is defined. This problem is formalized as a margin maximization problem and solved by means of a cutting plane algorithm. The performance of our method is tested on a number of benchmark datasets.

    TC Grafenau

    Zeitschriftenartikel

    K. Dembczýnski, Ali Fallah Tehrani, W. Cheng, E. Hüllermeier

    Learning Monotone Nonlinear Models using the Choquet Integral

    Machine Learning, vol. 89, no. 1, pp. 183-211

    2012

    DOI: 10.1007/s10994-012-5318-3

    Abstract anzeigen

    The learning of predictive models that guarantee monotonicity in the input variables has received increasing attention in machine learning in recent years. By trend, the difficulty of ensuring monotonicity increases with the flexibility or, say, nonlinearity of a model. In this paper, we advocate the so-called Choquet integral as a tool for learning monotone nonlinear models. While being widely used as a flexible aggregation operator in different fields, such as multiple criteria decision making, the Choquet integral is much less known in machine learning so far. Apart from combining monotonicity and flexibility in a mathematically sound and elegant manner, the Choquet integral has additional features making it attractive from a machine learning point of view. Notably, it offers measures for quantifying the importance of individual predictor variables and the interaction between groups of variables. Analyzing the Choquet integral from a classification perspective, we provide upper and lower bounds on its VC-dimension. Moreover, as a methodological contribution, we propose a generalization of logistic regression. The basic idea of our approach, referred to as choquistic regression, is to replace the linear function of predictor variables, which is commonly used in logistic regression to model the log odds of the positive class, by the Choquet integral. First experimental results are quite promising and suggest that the combination of monotonicity and flexibility offered by the Choquet integral facilitates strong performance in practical applications.

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    Diane Ahrens

    Internationaler Einkäufer. Immense Bedeutung für die Wettbewerbsfähigkeit von Unternehmen.

    All About Sourcing, no. April

    2012

    Bauingenieurwesen und Umwelttechnik

    Zeitschriftenartikel

    Kai Haase

    Holzbau nach DIN EN 1995:2010 und DIN EN 1995/NA:2010

    FRILO-Magazin, pp. 38-45

    2012

    Bauingenieurwesen und Umwelttechnik

    Zeitschriftenartikel

    J. Hoffmann, Kai Haase

    Lastannahmen nach DIN EN 1990/NA:2010 und DIN EN 1991/NA:2010

    FRILO-Magazin, pp. 18-30

    2012

    Bauingenieurwesen und Umwelttechnik

    Zeitschriftenartikel

    P. Fritz, Kai Haase

    Umstellung von nationalen zu europäischen Normen in Deutschland

    FRILO-Magazin, pp. 14-17

    2012

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    Ralf Alefs

    Der EU-Binnenmarkt steht zur Disposition

    DER BETRIEB, no. 36

    2012

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    G. Geberth, Ralf Alefs

    Die Gelangensbestätigung und alternative Nachweise bei innergemeinschaftlichen Lieferungen

    DER BETRIEB, no. 45, pp. 2544-2549

    2012

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    Josef Scherer

    Good Governance und ganzheitliches und operatives Management: Die Anreichung des "unternehmerischen Bauchgefühls" mit Risiko-, Chancen- und Compliancemanagement

    Corporate Compliance Zeitschrift (CCZ), no. 6, pp. 201-211

    2012

    Angewandte Wirtschaftswissenschaften

    Buch (Monographie)

    K. Fruth, Josef Scherer

    Stark in die Zukunft!

    Neue Trends für effizientes und nachhaltiges Management ; Anforderungen an den Manager von heute und morgen: Pflichten, Haftungsverfahren, Vermeidungsstrategien und Erfolgspotenziale für Unternehmer, Vorstände, Geschäftsführer, Aufsichtsräte, Beiräte, Gesellschafter und sonstige Leistungsträger im Management

    Reihe: Praxiswissen Nachhaltigkeit, Risiko-, Chancen- und Compliancemanagement, Deggendorf

    2012

    ISBN: 978-3000363849

    Angewandte Wirtschaftswissenschaften

    Sonstiges

    O. Zugmaier, Thomas Küffner

    Rezension von Reiß/Kraeusel/Langer: Umsatzsteuergesetz Kommentar

    Jubiläumsausgabe, Jubiläumssonderheft zur 100. Lieferung

    2012

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    Thomas Küffner

    Anmerkung zum Urteil des BFH vom 10.11.2011, Unternehmerische Tätigkeit einer Gemeinde beim Betrieb einer Sporthalle und Freizeithalle - Unmaßgeblichkeit rechtlicher Fehlvorstellungen beim Vorsteuerabzug

    Umsatzsteuer-Rundschau (UR)

    2012

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    T. Streit, Thomas Küffner

    Anmerkung zum Urteil des FG Rheinland-Pfalz vom 29.05.2012, 3 K 2138/10, Vertrauensschutz trotz innergemeinschaftlicher Lieferungen an ein Scheinunternehmen

    Internationale Wirtschaftsbriefe (IWB)

    2012

    Angewandte Gesundheitswissenschaften

    Buch (Monographie)

    Thomas Bartscher, J. Stöckel, T. Träger

    Grundlagen Personalmanagement

    Theoretische Konzepte und praktische Anwendung

    Pearson Studium - Economic BWL, München

    2012

    ISBN: 978-3-8689-4105-0

    Abstract anzeigen

    ZUM BUCH: Ein Grundlagenwerk über den gesamten personalwirtschaftlichen Bereich hinweg (Erarbeitung von Theorien, Konzepten/Strategien, Maßnahmen und deren Umsetzung). Es erfasst alle relevanten Bereiche der Bachelorvorlesungen im Personalmanagement. Mit vielen Grafiken, aktuellen Fallstudien inkl. Checklisten und Management-summaries, die einen Einblick in die Praxis geben. Weitere Schwerpunkte sind Tools zur Umsetzung (welche Verfahren eignen sich für welche Personelle Herausforderung?) und Ausblick auf neue Trends im Bereich Personalmanagement der Zukunft (geänderte Demografie in der Gesellschaft - was kann das für Personalarbeit / -einsatz bedeuten?). Praktische Vertiefungsmöglichkeit bietet das Buch "Fallstudien im Personalmanagement" (ISBN 978-3-86894-106-7) mit vielen deutschen Fällen aus dem Personalalltag. Zum Selbststudium und für Dozenten gibt es umfangreiche Onlineinhalte (s.u.). AUF DER COMPANION-WEBSITE (gemeinsam mit Fallstudienbuch): Für Dozenten* Foliensatz (Kapitelfolien) zum Einsatz in der Lehre* Foliensatz Abbildungen und Tabellen* Alle Lösungen zu den Übungsaufgaben im Buch* Videos* Teaching-Notes / FallestudienbuchFür Studenten* Folien (Kapitelfolien) zum Mitschreiben in der Vorlesung* Alle Lösungen zu den Übungsaufgaben* Handyglossar (Lernkartenfunktion)* Lösungswege Fallstudienbuch* Exceldatensätze DIE ZIELGRUPPE: Bachelorstudenten (BWL), Basisstudium Vorlesung Personal, Vertiefung Personalmanagement, HR dito Master und MBA-Studium, Studenten der Verwaltungs- und Wirtschaftsakademie (Personanalmanagement). (Quelle: www.buchhandel.de).