Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wachman, Gabriel"'
Autor:
Jananthan, Hayden, Jones, Michael, Arcand, William, Bestor, David, Bergeron, William, Burrill, Daniel, Buluc, Aydin, Byun, Chansup, Davis, Timothy, Gadepally, Vijay, Grant, Daniel, Houle, Michael, Hubbell, Matthew, Luszczek, Piotr, Michaleas, Peter, Milechin, Lauren, Milner, Chasen, Morales, Guillermo, Morris, Andrew, Mullen, Julie, Patel, Ritesh, Pentland, Alex, Pisharody, Sandeep, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Wachman, Gabriel, Yee, Charles, Kepner, Jeremy
The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and scientific data to discover relationships between events as they unfold i
Externí odkaz:
http://arxiv.org/abs/2409.08115
Autor:
Kepner, Jeremy, Jananthan, Hayden, Jones, Michael, Arcand, William, Bestor, David, Bergeron, William, Burrill, Daniel, Buluc, Aydin, Byun, Chansup, Davis, Timothy, Gadepally, Vijay, Grant, Daniel, Houle, Michael, Hubbell, Matthew, Luszczek, Piotr, Milechin, Lauren, Milner, Chasen, Morales, Guillermo, Morris, Andrew, Mullen, Julie, Patel, Ritesh, Pentland, Alex, Pisharody, Sandeep, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Wachman, Gabriel, Yee, Charles, Michaleas, Peter
Understanding what is normal is a key aspect of protecting a domain. Other domains invest heavily in observational science to develop models of normal behavior to better detect anomalies. Recent advances in high performance graph libraries, such as t
Externí odkaz:
http://arxiv.org/abs/2409.03111
Autor:
Milner, Chasen, Jananthan, Hayden, Kepner, Jeremy, Gadepally, Vijay, Jones, Michael, Michaleas, Peter, Patel, Ritesh, Pisharody, Sandeep, Wachman, Gabriel, Pentland, Alex
The Internet has become a critical domain for modern society that requires ongoing efforts for its improvement and protection. Network traffic matrices are a powerful tool for understanding and analyzing networks and are broadly taught in online grap
Externí odkaz:
http://arxiv.org/abs/2404.14643
Autor:
Jananthan, Hayden, Kepner, Jeremy, Jones, Michael, Arcand, William, Bestor, David, Bergeron, William, Byun, Chansup, Davis, Timothy, Gadepally, Vijay, Grant, Daniel, Houle, Michael, Hubbell, Matthew, Klein, Anna, Milechin, Lauren, Morales, Guillermo, Morris, Andrew, Mullen, Julie, Patel, Ritesh, Pentland, Alex, Pisharody, Sandeep, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Samsi, Siddharth, Trigg, Tyler, Wachman, Gabriel, Yee, Charles, Michaleas, Peter
Expanding the scientific tools available to protect computer networks can be aided by a deeper understanding of the underlying statistical distributions of network traffic and their potential geometric interpretations. Analyses of large scale network
Externí odkaz:
http://arxiv.org/abs/2310.00522
Autor:
Khardon, Roni1 RONI@CS.TUFTS.EDU, Wachman, Gabriel1 GWACHM01@CS.TUFTS.EDU
Publikováno v:
Journal of Machine Learning Research. 2/1/2007, Vol. 8 Issue 2, p227-248. 22p. 2 Diagrams, 7 Charts, 2 Graphs.
Publikováno v:
Machine Learning & Knowledge Discovery in Databases (9783642041730); 2009, p489-505, 17p
Autor:
Sculley, D., Wachman, Gabriel M.
Publikováno v:
Proceedings of the 30th Annual International ACM SIGIR Conference: Research & Development in Information Retrieval; 7/23/2007, p415-422, 8p
Autor:
Wachman, Gabriel, Khardon, Roni
Publikováno v:
Proceedings of the 24th International Conference: Machine Learning; 6/20/2007, p943-950, 8p