Publications

Found 4228 results
[ Author(Desc)] Title Type Year
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K
Konig, Y., & Morgan N. (1994).  Modeling Dynamics in Connectionist Speech Recognition - The Time Index Model.
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 9th Annual Conference on Neural Information Processing Systems (NIPS 1995).
Koponen, T., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S. J., et al. (2007).  A Data-oriented (and Beyond) Network Architecture. Computer Communication Review. 37(4), 181-192.
Koponen, T., Shenker S. J., 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., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S. J., et al. (2007).  A Data-Oriented (and Beyond) Network Architecture. 181-192.
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.
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.
Kortsarz, G., Krauthgamer R., & Lee J. R. (2002).  Hardness of Approximation for Vertex-Connectivity Network Design Problems.
Koskela, J.., Weaver N., Gurtov A., & Allman M. (2009).  Securing Web Content. 7-12.
Kotro, T.., Lindh-Knuutila T., & Hiltunen E.. (2009).  How to Analyze Various Consumer Data in the Future?. 135-143.
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.
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.
Krahenbuhl, P., Doersch C., Donahue J., & Darrell T. (2015).  Data-dependent Initializations of Convolutional Neural Networks. CoRR. abs/1511.06856,
Kramer, O., Satzger B., & Lässig J. (2010).  Managing Energy in a Virtual Power Plant Using Learning Classifier Systems.
Kramer, O., Satzger B., & Lässig J. (2010).  Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. 262-269.
Kramer, O. (2011).  Machine Symbol Grounding and Optimization.
Krämer, B., & Wegner L. (1997).  Collaboration Support in Networked Distance Learning.
Kramer, O., & Danielsiek H.. (2010).  DBSCAN-Based Multi-Objective Niching to Approximate Equivalent Pareto-Subsets. 503-510.
Kramer, O. (2010).  Computational Intelligence and Sustainable Energy: Case Studies and Applications.
Kramer, O., & Gieseke F.. (2011).  Short-Term Wind Energy Forecasting Using Support Vector Regression.
Krashinsky, R., Batten C., & Asanović K. (2008).  Implementing the Scale Vector-Thread Processor. ACM Transactions on Design Automation of Electronic Systems. 13(3), 
Krashinsky, R., Batten C., & Asanović K. (2007).  The Scale Vector-Thread Processor.
Krasnova, H., Kolesnikova E.., & Günther O. (2009).  "It Wont't Happen to Me!": Self-Disclosure in Online Social Networks.
Krause, M., & Kulkarni A. (2015).  Predicting Sales E-Mail Responders using a Natural Language Model. Communications of the ACM. 38(11), 39-41.
Krause, M., Hall M., Williams J. Jay, Paritosh P., Prip J., & Caton S. (2016).  Connecting Online Work and Online Education at Scale. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 3536-3541.

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