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pro vyhledávání: '"Leni Ven"'
Publikováno v:
Proceedings of the ACM on Programming Languages. 7:1454-1482
In probabilistic programming languages (PPLs), a critical step in optimization-based inference methods is constructing, for a given model program, a trainable guide program. Soundness and effectiveness of inference rely on constructing good guides, b
Autor:
Iman Akbari, Mohammad A. Salahuddin, Leni Ven, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin
Publikováno v:
Communications of the ACM. 65:75-83
Traffic classification is essential in network management for a wide range of operations. Recently, it has become increasingly challenging with the widespread adoption of encryption in the Internet, for example, as a de facto in HTTP/2 and QUIC proto
Autor:
Iman Akbari, Raouf Boutaba, Mohammad A. Salahuddin, Noura Limam, Stephane Tuffin, Bertrand Mathieu, Leni Ven, Stephanie Moteau
Publikováno v:
SIGMETRICS (Abstracts)
Traffic classification is essential in network management for operations ranging from capacity planning, performance monitoring, volumetry, and resource provisioning, to anomaly detection and security. Recently, it has become increasingly challenging