Zobrazeno 1 - 10
of 1 038
pro vyhledávání: '"H.1.1"'
Distributed medium access schemes have a key advantage in anomaly tracking applications, as individual sensors know their own observations and can exploit them to reduce their Age of Incorrect Information (AoII). However, the risk of collisions has s
Externí odkaz:
http://arxiv.org/abs/2412.07503
Autor:
Gyamfi, B.
This paper statistically analysed pensioner longevity in Ghana. It fundamentally sought to ascertain the significant determinants of longevity amongst Ghanaian pensioners, specifically, SSNIT pensioners by estimating the mortality rate of SSNIT pensi
Externí odkaz:
http://arxiv.org/abs/2411.17750
We study skew-tolerant Gray codes, which are Gray codes in which changes in consecutive codewords occur in adjacent positions. We present the first construction of asymptotically non-vanishing skew-tolerant Gray codes, offering an exponential improve
Externí odkaz:
http://arxiv.org/abs/2411.08233
Autor:
Lu, Chenguang
Recent advances in deep learning suggest that we need to maximize and minimize two different kinds of information simultaneously. The Information Max-Min (IMM) method has been used in deep learning, reinforcement learning, and maximum entropy control
Externí odkaz:
http://arxiv.org/abs/2411.05789
Autor:
Costa, Maice, Sagduyu, Yalin E.
Publikováno v:
Proc. 2024 IEEE International Conference on Communications Workshops, pp.554-559. %\thanks{Peer-reviewed version in Proc. 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA, 2024, pp. 554-559
We consider the transfer of time-sensitive information in next-generation (NextG) communication systems in the presence of a deep learning based eavesdropper capable of jamming detected transmissions, subject to an average power budget. A decoy-based
Externí odkaz:
http://arxiv.org/abs/2410.08045
Autor:
Augeri, Christopher James, Mullins, Barry E., Baird III, Leemon C., Bulutoglu, Dursun A., Baldwin, Rusty O.
Publikováno v:
Proceedings of the 2007 workshop on Experimental Computer Science (ExpCS) at ACM FCRC 2007
XML simplifies data exchange among heterogeneous computers, but it is notoriously verbose and has spawned the development of many XML-specific compressors and binary formats. We present an XML test corpus and a combined efficiency metric integrating
Externí odkaz:
http://arxiv.org/abs/2410.07603
Autor:
Sagan, Naomi, Weissman, Tsachy
We propose and study a family of universal sequential probability assignments on individual sequences, based on the incremental parsing procedure of the Lempel-Ziv (LZ78) compression algorithm. We show that the normalized log loss under any of these
Externí odkaz:
http://arxiv.org/abs/2410.06589
Autor:
Butakov, Ivan, Sememenko, Alexander, Tolmachev, Alexander, Gladkov, Andrey, Munkhoeva, Marina, Frolov, Alexey
Deep InfoMax (DIM) is a well-established method for self-supervised representation learning (SSRL) based on maximization of the mutual information between the input and the output of a deep neural network encoder. Despite the DIM and contrastive SSRL
Externí odkaz:
http://arxiv.org/abs/2410.06993
Autor:
Costa, Maice, Sagduyu, Yalin E.
Publikováno v:
In proceedings on IEEE VTC-Fall 2024 Conference
We consider the communication of time-sensitive information in NextG spectrum sharing where a deep learning-based classifier is used to identify transmission attempts. While the transmitter seeks for opportunities to use the spectrum without causing
Externí odkaz:
http://arxiv.org/abs/2410.05501
'Efficient Complexity': a Constrained Optimization Approach to the Evolution of Natural Intelligence
Autor:
Dolgikh, Serge
A fundamental question in the conjunction of information theory, biophysics, bioinformatics and thermodynamics relates to the principles and processes that guide the development of natural intelligence in natural environments where information about
Externí odkaz:
http://arxiv.org/abs/2410.13881