Zobrazeno 1 - 10
of 18 362
pro vyhledávání: '"Dariush, A. A."'
We investigate the properties of positive definite and positive semi-definite symmetric matrices within the framework of symmetrized tropical algebra, an extension of tropical algebra adapted to ordered valued fields. We focus on the eigenvalues and
Externí odkaz:
http://arxiv.org/abs/2412.10602
Reinforcement Learning (RL) has emerged as a powerful paradigm in Artificial Intelligence (AI), enabling agents to learn optimal behaviors through interactions with their environments. Drawing from the foundations of trial and error, RL equips agents
Externí odkaz:
http://arxiv.org/abs/2411.18892
Financial markets are integral to a country's economic success, yet their complex nature raises challenging issues for predicting their behaviors. There is a growing demand for an integrated system that explores the vast and diverse data in financial
Externí odkaz:
http://arxiv.org/abs/2412.05297
The driver warning system that alerts the human driver about potential risks during driving is a key feature of an advanced driver assistance system. Existing driver warning technologies, mainly the forward collision warning and unsafe lane change wa
Externí odkaz:
http://arxiv.org/abs/2411.06306
Autor:
Du, Weihua, Lyu, Qiushi, Shan, Jiaming, Qi, Zhenting, Zhang, Hongxin, Chen, Sunli, Peng, Andi, Shu, Tianmin, Lee, Kwonjoon, Dariush, Behzad, Gan, Chuang
We introduce Constrained Human-AI Cooperation (CHAIC), an inclusive embodied social intelligence challenge designed to test social perception and cooperation in embodied agents. In CHAIC, the goal is for an embodied agent equipped with egocentric obs
Externí odkaz:
http://arxiv.org/abs/2411.01796
Autor:
Deb, Madhurima, Beckenbach, Isabel, Petrera, Matteo, Ehsani, Dariush, Fuhrmann, Marcel, Hao, Yun, Teschke, Olaf, Schubotz, Moritz
Mathematical research thrives on the effective dissemination and discovery of knowledge. zbMATH Open has emerged as a pivotal platform in this landscape, offering a comprehensive repository of mathematical literature. Beyond indexing and abstracting,
Externí odkaz:
http://arxiv.org/abs/2410.06948
Autor:
Ghasemi, Majid, Ebrahimi, Dariush
Reinforcement Learning (RL), a subfield of Artificial Intelligence (AI), focuses on training agents to make decisions by interacting with their environment to maximize cumulative rewards. This paper provides an overview of RL, covering its core conce
Externí odkaz:
http://arxiv.org/abs/2408.07712
Video Anomaly Detection (VAD) is crucial for applications such as security surveillance and autonomous driving. However, existing VAD methods provide little rationale behind detection, hindering public trust in real-world deployments. In this paper,
Externí odkaz:
http://arxiv.org/abs/2407.10299
Machine learning (ML) models have been shown to leak private information from their training datasets. Differential Privacy (DP), typically implemented through the differential private stochastic gradient descent algorithm (DP-SGD), has become the st
Externí odkaz:
http://arxiv.org/abs/2406.08039
The increasing cloudification and softwarization of networks foster the interplay among multiple independently managed deployments. An appealing reason for such an interplay lies in distributed Machine Learning (ML), which allows the creation of robu
Externí odkaz:
http://arxiv.org/abs/2405.05140