| Distributed graphlab: A framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein arXiv preprint arXiv:1204.6078, 2012 | 2365 | 2012 |
| Powergraph: Distributed graph-parallel computation on natural graphs JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin Presented as part of the 10th {USENIX} Symposium on Operating Systems Design …, 2012 | 2229 | 2012 |
| Graphlab: A new framework for parallel machine learning Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein arXiv preprint arXiv:1408.2041, 2014 | 1030 | 2014 |
| Graphlab: A new parallel framework for machine learning Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein Conference on uncertainty in artificial intelligence (UAI) 20, 2010 | 449 | 2010 |
| Parallel coordinate descent for l1-regularized loss minimization JK Bradley, A Kyrola, D Bickson, C Guestrin arXiv preprint arXiv:1105.5379, 2011 | 356 | 2011 |
| The eMule protocol specification Y Kulbak, D Bickson eMule project, http://sourceforge. net, 2005 | 203 | 2005 |
| Gaussian belief propagation: Theory and aplication D Bickson arXiv preprint arXiv:0811.2518, 2008 | 123 | 2008 |
| Gaussian belief propagation solver for systems of linear equations O Shental, PH Siegel, JK Wolf, D Bickson, D Dolev 2008 IEEE international symposium on information theory, 1863-1867, 2008 | 117 | 2008 |
| Kernel belief propagation L Song, A Gretton, D Bickson, Y Low, C Guestrin Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 83 | 2011 |
| Efficient clustering for improving network performance in wireless sensor networks T Anker, D Bickson, D Dolev, B Hod Wireless Sensor Networks: 5th European Conference, EWSN 2008, Bologna, Italy …, 2008 | 58 | 2008 |
| Practical locality-awareness for large scale information sharing I Abraham, A Badola, D Bickson, D Malkhi, S Maloo, S Ron IPTPS 5, 173-181, 2005 | 53 | 2005 |
| Fixing convergence of Gaussian belief propagation JK Johnson, D Bickson, D Dolev 2009 IEEE International Symposium on Information Theory, 1674-1678, 2009 | 51 | 2009 |
| Distributed large scale network utility maximization D Bickson, Y Tock, A Zymnis, SP Boyd, D Dolev 2009 IEEE International Symposium on Information Theory, 829-833, 2009 | 51 | 2009 |
| Gaussian belief propagation based multiuser detection D Bickson, D Dolev, O Shental, PH Siegel, JK Wolf 2008 IEEE International Symposium on Information Theory, 1878-1882, 2008 | 51 | 2008 |
| Linear detection via belief propagation D Bickson, O Shental, PH Siegel, JK Wolf, D Dolev Proc. 45th Allerton Conf. on Communications, Control and Computing, 2007 | 38 | 2007 |
| The emule protocol specification. eMule project Y Kulbak, D Bickson | 35 | 2005 |
| Graphlab: A distributed framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin arXiv preprint arXiv:1107.0922, 2011 | 30 | 2011 |
| A gaussian belief propagation solver for large scale support vector machines D Bickson, E Yom-Tov, D Dolev arXiv preprint arXiv:0810.1648, 2008 | 29 | 2008 |
| Efficient large scale content distribution D Bickson, D Malkhi, D Rabinowitz Proceedings of the 6th Workshop on Distributed Data and Structures (WDAS’2004), 2004 | 28 | 2004 |
| The Julia Content Distribution Network. D Bickson, D Malkhi WORLDS, 2005 | 26 | 2005 |
Carlos GuestrinProfessor, Stanford UniversityE-mailová adresa ověřena na: stanford.edu
