Zobrazeno 1 - 10
of 468
pro vyhledávání: '"Jafarnia A"'
Publikováno v:
مهندسی مخابرات جنوب, Vol 13, Iss 52, Pp 45-64 (2024)
The non-invasive localization of accessory pathway (AP) in patients with Wolff-Parkinson-White (WPW) syndrome is typically performed upon physicians’ diagnoses based on observing their electrocardiogram (ECG) signals, which are not always the same.
Externí odkaz:
https://doaj.org/article/8d672539b8a84aff9038e9fcfc578d39
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36411- (2024)
This study introduces a groundbreaking method to enhance the accuracy and reliability of emotion recognition systems by combining electrocardiogram (ECG) with electroencephalogram (EEG) data, using an eye-tracking gated strategy. Initially, we propos
Externí odkaz:
https://doaj.org/article/cf5ea1ca62ca44e5828e09a616c62dd9
Publikováno v:
پژوهشنامه حقوق تطبیقی, Vol 8, Iss 2 (2024)
Adhering to a fair trial and regulating the conduct of the trial requires that litigants know their rights in the proceedings, and the investigating authority also follows certain pre-prepared rules. Compliance with these two pillars requires the exi
Externí odkaz:
https://doaj.org/article/915917891184477e9745cb46ffb5b4b3
Publikováno v:
IEEE Access, Vol 12, Pp 118122-118140 (2024)
Researchers suggest that a short video clip, when tagged with a single label, is sufficient for classification into an emotional category. However, when subjects view an emotional film tagged similarly, there is no guarantee that the designated emoti
Externí odkaz:
https://doaj.org/article/0da5e769ba784a4594fd89f04998b12c
In this paper, we propose Posterior Sampling Reinforcement Learning for Zero-sum Stochastic Games (PSRL-ZSG), the first online learning algorithm that achieves Bayesian regret bound of $O(HS\sqrt{AT})$ in the infinite-horizon zero-sum stochastic game
Externí odkaz:
http://arxiv.org/abs/2109.03396
We introduce a framework for decentralized online learning for multi-armed bandits (MAB) with multiple cooperative players. The reward obtained by the players in each round depends on the actions taken by all the players. It's a team setting, and the
Externí odkaz:
http://arxiv.org/abs/2109.03818
Publikováno v:
In Heliyon 30 August 2024 10(16)
We introduce a generic template for developing regret minimization algorithms in the Stochastic Shortest Path (SSP) model, which achieves minimax optimal regret as long as certain properties are ensured. The key of our analysis is a new technique cal
Externí odkaz:
http://arxiv.org/abs/2106.08377
We consider the problem of online reinforcement learning for the Stochastic Shortest Path (SSP) problem modeled as an unknown MDP with an absorbing state. We propose PSRL-SSP, a simple posterior sampling-based reinforcement learning algorithm for the
Externí odkaz:
http://arxiv.org/abs/2106.05335