Zobrazeno 1 - 10
of 413
pro vyhledávání: '"Najafi, Amir"'
Autor:
Saberi, Amir Hossein, Najafi, Amir, Heidari, Alireza, Movasaghinia, Mohammad Hosein, Motahari, Abolfazl, Khalaj, Babak H.
We propose a novel framework for incorporating unlabeled data into semi-supervised classification problems, where scenarios involving the minimization of either i) adversarially robust or ii) non-robust loss functions have been considered. Notably, w
Externí odkaz:
http://arxiv.org/abs/2310.00027
In this paper, we find a sample complexity bound for learning a simplex from noisy samples. Assume a dataset of size $n$ is given which includes i.i.d. samples drawn from a uniform distribution over an unknown simplex in $\mathbb{R}^K$, where samples
Externí odkaz:
http://arxiv.org/abs/2209.05953
Publikováno v:
In Energy Conversion and Management 15 August 2024 314
This paper aims to propose and theoretically analyze a new distributed scheme for sparse linear regression and feature selection. The primary goal is to learn the few causal features of a high-dimensional dataset based on noisy observations from an u
Externí odkaz:
http://arxiv.org/abs/2111.02802
Publikováno v:
In Heliyon 30 March 2024 10(6)
In this paper, we extend a class of celebrated regularization techniques originally proposed for feed-forward neural networks, namely Input Mixup (Zhang et al., 2017) and Manifold Mixup (Verma et al., 2018), to the realm of Recurrent Neural Networks
Externí odkaz:
http://arxiv.org/abs/2012.07527
Publikováno v:
In International Orthodontics December 2023 21(4)
Publikováno v:
In Applied Energy 15 November 2023 350
Autor:
MAHMOODI, Samin1 saminmahmoudi@gmail.com, NAJAFI, Amir Abbas1 aanajafi@kntu.ac.ir, GHODS, Kian2 kianghods@gmail.com
Publikováno v:
Economic Computation & Economic Cybernetics Studies & Research. 2024, Vol. 58 Issue 1, p104-119. 16p.
Publikováno v:
In Chemical Engineering Journal 15 July 2023 468