Zobrazeno 1 - 10
of 25 616
pro vyhledávání: '"Gohari, A."'
Autor:
Schmidt, Hartmut, Westheide, Wilfried
Publikováno v:
Biological Bulletin, 1999 Apr 01. 196(2), 216-226.
Externí odkaz:
https://www.jstor.org/stable/1542567
Autor:
Wood, David, Lublinsky, Boris, Roytman, Alexy, Singh, Shivdeep, Adebayo, Abdulhamid, Eres, Revital, Nassar, Mohammad, Patel, Hima, Shah, Yousaf, Adam, Constantin, Zerfos, Petros, Desai, Nirmit, Tsuzuku, Daiki, Goto, Takuya, Dolfi, Michele, Surendran, Saptha, Selvam, Paramesvaran, An, Sungeun, Chang, Yuan Chi, Joshi, Dhiraj, Emami-Gohari, Hajar, Dang, Xuan-Hong, Koyfman, Yan, Daijavad, Shahrokh
Data preparation is the first and a very important step towards any Large Language Model (LLM) development. This paper introduces an easy-to-use, extensible, and scale-flexible open-source data preparation toolkit called Data Prep Kit (DPK). DPK is a
Externí odkaz:
http://arxiv.org/abs/2409.18164
Autor:
Wen, Zhenduo, Gohari, Amin
This paper employs the add-and-subtract technique of the auxiliary receiver approach to establish a new upper bound for the distributed hypothesis testing problem. This new bound has fewer assumptions than the upper bound proposed by Rahman and Wagne
Externí odkaz:
http://arxiv.org/abs/2409.14148
The world of Machine Learning (ML) has witnessed rapid changes in terms of new models and ways to process users data. The majority of work that has been done is focused on Deep Learning (DL) based approaches. However, with the emergence of new algori
Externí odkaz:
http://arxiv.org/abs/2409.10392
Autor:
Khalili, Erfan Amoozad, Ghasemzadeh, Kiarash, Gohari, Hossein, Jafari, Mohammadreza, Jamshidi, Matin, Khaksar, Mahdi, AkramiFard, AmirReza, Hatamzadeh, Mana, Sadeghi, Saba, Moaiyeri, Mohammad Hossein
This paper describes Auriga's @Work team and their robot, developed at Shahid Beheshti University Faculty of Electrical Engineering's Robotics and Intelligent Automation Lab for RoboCup 2024 competitions. The robot is designed for industrial tasks, o
Externí odkaz:
http://arxiv.org/abs/2409.06693
Brain is one the most complex organs in the human body. Due to its complexity, classification of brain tumors still poses a significant challenge, making brain tumors a particularly serious medical issue. Techniques such as Machine Learning (ML) coup
Externí odkaz:
http://arxiv.org/abs/2409.05359
Software Defined Networks (SDN) face many security challenges today. A great deal of research has been done within the field of Intrusion Detection Systems (IDS) in these networks. Yet, numerous approaches still rely on deep learning algorithms. Thes
Externí odkaz:
http://arxiv.org/abs/2409.03544
Autor:
Montaseri, Hamidreza, Gohari, Amin
The proliferation of algorithmic systems has fueled discussions surrounding the regulation and control of their social impact. Herein, we consider a system whose primary objective is to maximize utility by selecting the most qualified individuals. To
Externí odkaz:
http://arxiv.org/abs/2404.04534
In the domain of music production and audio processing, the implementation of automatic pitch correction of the singing voice, also known as Auto-Tune, has significantly transformed the landscape of vocal performance. While auto-tuning technology has
Externí odkaz:
http://arxiv.org/abs/2403.05380
Fair supervised learning algorithms assigning labels with little dependence on a sensitive attribute have attracted great attention in the machine learning community. While the demographic parity (DP) notion has been frequently used to measure a mode
Externí odkaz:
http://arxiv.org/abs/2402.18129