Publications

Found 357 results
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Kramer, O., & Gieseke F.. (2011).  Short-Term Wind Energy Forecasting Using Support Vector Regression.
Kramer, O. (2010).  Computational Intelligence and Sustainable Energy: Case Studies and Applications.
Kramer, O., & Danielsiek H.. (2010).  DBSCAN-Based Multi-Objective Niching to Approximate Equivalent Pareto-Subsets. 503-510.
Krämer, B., & Wegner L. (1997).  Collaboration Support in Networked Distance Learning.
Kramer, O., Satzger B., & Lässig J. (2010).  Managing Energy in a Virtual Power Plant Using Learning Classifier Systems.
Kramer, O. (2011).  Machine Symbol Grounding and Optimization.
Kramer, O., Satzger B., & Lässig J. (2010).  Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. 262-269.
Krahenbuhl, P., Doersch C., Donahue J., & Darrell T. (2015).  Data-dependent Initializations of Convolutional Neural Networks. CoRR. abs/1511.06856,
Kovacs, A.., Ben-Jacob N.., Tayem H.., Halperin E., Iraqi F.. A., & Gophna U.. (2011).  Genotype Is a Stronger Determinant than Sex of the Mouse Gut Microbiota. Microbial Ecology. 61(2), 423-428.
Kotzias, P., Razaghpanah A., Amann J., Paterson K. G., Vallina-Rodriguez N., & Caballero J. (2018).  Coming of Age: A Longitudinal Study of TLS Deployment. Proceedings of IMC 18.
Kotro, T.., Lindh-Knuutila T., & Hiltunen E.. (2009).  How to Analyze Various Consumer Data in the Future?. 135-143.
Koskela, J.., Weaver N., Gurtov A., & Allman M. (2009).  Securing Web Content. 7-12.
Kortsarz, G., Krauthgamer R., & Lee J. R. (2002).  Hardness of Approximation for Vertex-Connectivity Network Design Problems.
Kornexl, S.., Paxson V., Dreger H., Feldmann A., & Sommer R. (2005).  Building a Time Machine for Efficient Recording and Retrieval of High-Volume Network Traffic. Proceedings of the Fifth ACM Conference on Internet Measurement (IMC 2005). 267-272.
Koponen, T., Shenker S., Balakrishnan H., Feamster N., Ganichev I., Ghodsi A., et al. (2011).  Editorial: Architecting for Innovation. ACM SIGCOMM Computer Communication Review. 41(3), 24-36.
Koponen, T., Casado M., Gude N. S., Stribling J., Poutievski L., Zhu M., et al. (2010).  Onix: A Distributed Control Platform for Large-scale Production Networks. 351-364.
Koponen, T., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S., et al. (2007).  A Data-Oriented (and Beyond) Network Architecture. 181-192.
Koponen, T., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S., et al. (2007).  A Data-oriented (and Beyond) Network Architecture. Computer Communication Review. 37(4), 181-192.
Konig, Y., & Morgan N. (1993).  Supervised and Unsupervised Clustering of the Speaker Space for Connectionist Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech & Signal Processing.
Konig, Y., Bourlard H., & Morgan N. (1995).  Remap Modeling for Connectionist Speech Recognition. Proceedings of the 15th Annual Speech Research Symposium.
Konig, Y., Morgan N., Wooters C., Abrash V., Cohen M., & Franco H. (1993).  Modeling Consistency in a Speaker Independent Continuous Speech Recognition System. V, 682-687.
Konig, Y., Bourlard H., & Morgan N. (1995).  REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition. Proceedings of the Advances in Neural Information Processing Systems 8 Conference (NIPS 8). 388-394.
Konig, Y., & Morgan N. (1992).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition. Proceedings of the International Joint Conference on Neural Networks.
Konig, Y., Bourlard H., & Morgan N. (1996).  REMAP - Experiments with Speech Recognition. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-96).
Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.

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