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27 results on '"Lippe, Wolfram-Manfred"'

8. A general approach to the optimization of function calls

Author

Felgentreu, Kay-Ulrich, Lippe, Wolfram-Manfred, Goos, G., editor, Hartmanis, J., editor, Barstow, D., editor, Brauer, W., editor, Brinch Hansen, P., editor, Gries, D., editor, Luckham, D., editor, Moler, C., editor, Pnueli, A., editor, Seegmüller, G., editor, Stoer, J., editor, Wirth, N., editor, Robinet, Bernard, editor, and Wilhelm, Reinhard, editor

Published
1986
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10. Proceedings of the 2010 International Conference on Data Mining

Author

Stahlbock, Robert, Crone, Sven F., Abou-Nasr, Mahmoud, ARABNIA, Hamid R., Kourentzes, Nikolaos, Lenca, Philippe, Lippe, Wolfram-Manfred, Weiss, Gary M., Institute of Information Systems (Department of Business Administration, University of Hamburg) (IIS), Lancaster Research Centre for Forecasting (Lancaster University Management School, Department of Management Science) (LRCF), Research and Innovation Center, Ford (Ford Motor Company), University of Georgia [USA], Lab-STICC_TB_CID_DECIDE, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Institut für Informatik (Münster University), Fordham University [New York], Institute of Information Systems (Department of Business Administration, University of Hamburg) ( IIS ), Lancaster Research Centre for Forecasting (Lancaster University Management School, Department of Management Science) ( LRCF ), Department of Computer Science (University of Georgia), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance ( Lab-STICC ), École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale d'Ingénieurs de Brest ( ENIB ) -Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université européenne de Bretagne ( UEB ) -ENSTA Bretagne-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Département Logique des Usages, Sciences sociales et Sciences de l'Information ( LUSSI ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], and Department of Computer & Information Sciences (Fordham University)

Subjects
[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI], Data mining, [ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience

Published
2010

19. Inference for Neural Network Predictive Models with Impulse Interventions

Author

Stahlbock, Robert, Crone, Sven F., Abou-Nasr, Mahmoud, Arabnia, Hamid R., Kourentzes, Nikolaos, Lenca, Philippe, Lippe, Wolfram-Manfred, Weiss, Gary M., Crone, Sven, Stahlbock, Robert, Crone, Sven F., Abou-Nasr, Mahmoud, Arabnia, Hamid R., Kourentzes, Nikolaos, Lenca, Philippe, Lippe, Wolfram-Manfred, Weiss, Gary M., and Crone, Sven

Abstract

Neural Networks (NN) have demonstrated remarkable time series fitting and prediction abilities, outperforming in several applications other methods and particularly linear models, such as dynamic linear regression. However, due to their nature, NNs are not easy to interpret and are often considered as black box models. The importance of each independent variable is hard to estimate and therefore test whether they have significant explanatory power and hence be included in the model or not. This task is very important for several applications, where the effect of each variable has to be identified, such as marketing modelling and analysis, where the effectiveness of different marketing instruments has to be estimated, commonly modelled as impulse interventions. Statistical inference in these cases is sought, hindering the use of NNs. This paper proposes a framework to allow statistical inference of impulse interventions modelled with NNs. The effects of interventions are estimated and tested for statistical significance. Using a Monte Carlo simulation the power of the proposed test is compared with dynamic linear regression models. The power is found to be higher and the estimation of the simulated effects is more accurate. Based on this framework strategies to code multiple impulses with NNs are discussed.

Published
2010

20. BackMatter.

Author

Lippe, Wolfram-Manfred

Published
2009

21. FrontMatter.

Author

Lippe, Wolfram-Manfred

Published
2009

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