Zobrazeno 1 - 10
of 3 458
pro vyhledávání: '"A. A. Kononova"'
Publikováno v:
Сахарный диабет, Vol 25, Iss 5, Pp 468-476 (2022)
BACKGROUND: Diabetes mellitus (DM) is a predisposing factor for the development of many infectious complications. Numerous studies have demonstrated the association of hyperglycemia in patients having DM with a high risk of a more unfavorable course
Externí odkaz:
https://doaj.org/article/d9d40a5c6fb640e5a47af3c70d130992
Time-series anomaly detection plays an important role in engineering processes, like development, manufacturing and other operations involving dynamic systems. These processes can greatly benefit from advances in the field, as state-of-the-art approa
Externí odkaz:
http://arxiv.org/abs/2408.03747
We introduce here the concept of Artificial General Creatures (AGC) which encompasses "robotic or virtual agents with a wide enough range of capabilities to ensure their continued survival". With this in mind, we propose a research line aimed at incr
Externí odkaz:
http://arxiv.org/abs/2407.21357
As attention to recorded data grows in the realm of automotive testing and manual evaluation reaches its limits, there is a growing need for automatic online anomaly detection. This real-world data is complex in many ways and requires the modelling o
Externí odkaz:
http://arxiv.org/abs/2407.06849
Na\"ive restarts of global optimization solvers when operating on multimodal search landscapes may resemble the Coupon's Collector Problem, with a potential to waste significant function evaluations budget on revisiting the same basins of attractions
Externí odkaz:
http://arxiv.org/abs/2405.01226
To guide the design of better iterative optimisation heuristics, it is imperative to understand how inherent structural biases within algorithm components affect the performance on a wide variety of search landscapes. This study explores the impact o
Externí odkaz:
http://arxiv.org/abs/2404.17323
Autor:
Cibu, Nila, Ding, Kexin, DiSilvio, Steven, Kononova, Sasha, Lee, Chan, Morrison, Ralph, Singal, Krish
Chess graphs encode the moves that a particular chess piece can make on an $m\times n$ chessboard. We study through these graphs through the lens of chip-firing games and graph gonality. We provide upper and lower bounds for the gonality of king's, b
Externí odkaz:
http://arxiv.org/abs/2403.03907
The number of proposed iterative optimization heuristics is growing steadily, and with this growth, there have been many points of discussion within the wider community. One particular criticism that is raised towards many new algorithms is their foc
Externí odkaz:
http://arxiv.org/abs/2402.09800
When benchmarking optimization heuristics, we need to take care to avoid an algorithm exploiting biases in the construction of the used problems. One way in which this might be done is by providing different versions of each problem but with transfor
Externí odkaz:
http://arxiv.org/abs/2402.07654
Although deep reinforcement learning methods can learn effective policies for challenging problems such as Atari games and robotics tasks, algorithms are complex, and training times are often long. This study investigates how Evolution Strategies per
Externí odkaz:
http://arxiv.org/abs/2402.06912