Zobrazeno 1 - 10
of 9 095
pro vyhledávání: '"Mazaheri, A."'
Autor:
Khamaneh, Saman Mazaheri, Wu, Tong
In power systems, unpredictable events like extreme weather, equipment failures, and cyberattacks present significant challenges to ensuring safety and reliability. Ensuring resilience in the face of these uncertainties is crucial for reliable and ef
Externí odkaz:
http://arxiv.org/abs/2411.08618
Inference of Large Language Models (LLMs) across computer clusters has become a focal point of research in recent times, with many acceleration techniques taking inspiration from CPU speculative execution. These techniques reduce bottlenecks associat
Externí odkaz:
http://arxiv.org/abs/2407.11798
A mixture model consists of a latent class that exerts a discrete signal on the observed data. Uncovering these latent classes is fundamental to unsupervised learning. In this paper, we consider the problem of recovering latent classes defined with r
Externí odkaz:
http://arxiv.org/abs/2405.19225
Tracking nanoparticle movement is highly desirable in many scientific areas, and various imaging methods have been employed to achieve this goal. Interferometric scattering (iSCAT) microscopy has been particularly successful in combining very high sp
Externí odkaz:
http://arxiv.org/abs/2401.12939
Autor:
Vakharia, Priyesh, Joshi, Devavrat, Chavan, Meenal, Sonawane, Dhananjay, Garg, Bhrigu, Mazaheri, Parsa
Large Language Models (LLMs) are adept at text manipulation -- tasks such as machine translation and text summarization. However, these models can also be prone to hallucination, which can be detrimental to the faithfulness of any answers that the mo
Externí odkaz:
http://arxiv.org/abs/2312.14346
Publikováno v:
Bone & Joint Open, Vol 5, Iss 10, Pp 898-903 (2024)
Aims: The sensitivity and specificity of electrodiagnostic parameters in diagnosing carpal tunnel syndrome (CTS) have been reported differently, and this study aims to address this gap. Methods: This case-control study was conducted on 57 cases with
Externí odkaz:
https://doaj.org/article/2e1069c5a5b346eb8e4cdd72280231c4
An acyclic causal structure can be described with directed acyclic graph (DAG), where arrows indicate the possibility of direct causation. The task of learning this structure from data is known as "causal discovery." Diverse populations or changing e
Externí odkaz:
http://arxiv.org/abs/2311.07454
We explore what we call ``omitted label contexts,'' in which training data is limited to a subset of the possible labels. This setting is common among specialized human experts or specific focused studies. We lean on well-studied paradoxes (Simpson's
Externí odkaz:
http://arxiv.org/abs/2311.06840
We consider the problem of identifying, from statistics, a distribution of discrete random variables $X_1,\ldots,X_n$ that is a mixture of $k$ product distributions. The best previous sample complexity for $n \in O(k)$ was $(1/\zeta)^{O(k^2 \log k)}$
Externí odkaz:
http://arxiv.org/abs/2309.13993
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Nanoparticles impose multidimensional effects on living cells that significantly vary among different studies. Machine learning (ML) methods are recommended to elucidate more consistence and predictable relations among the affected parameter
Externí odkaz:
https://doaj.org/article/810392baa30849a497659da719aa81c6