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This paper has been withdrawn by the author due to a crucial accuracy error in Fig. 5. For precise performance of ALBNN please refer to Yoon et al.'s work in the following article. Yoon, H., Park, C. S., Kim, J. S., & Baek, J. G. (2013).…

Neural and Evolutionary Computing · Computer Science 2015-02-27 Rizwana Kalsoom , Moomal Qureshi

In this paper, some points to the convergence analysis performed in the paper [A new computing approach for power signal modeling using fractional adaptive algorithms, ISA Transactions 68 (2017) 189-202] are presented. It is highlighted…

Optimization and Control · Mathematics 2020-03-24 Abdul Wahab , Shujaat Khan , Farrukh Zeeshan Khan

This paper introduces multimodal conformal regression. Traditionally confined to scenarios with solely numerical input features, conformal prediction is now extended to multimodal contexts through our methodology, which harnesses internal…

Machine Learning · Computer Science 2026-05-15 Alexis Bose , Jonathan Ethier , Paul Guinand

An arxiv paper, ref. [1] by Cao et al., claimed that the tunable attraction reported in our ref. [2] could not be detected. Ref. [1] was submitted to Nature in Apr. 2016 as a Comment on our ref. [2]. Our reply in May 2016 responded to ref.…

Soft Condensed Matter · Physics 2017-01-04 Bo Li , Feng Wang , Di Zhou , Yi Peng , Ran Ni , Yilong Han

We study attracting graphs of step skew products from the topological and ergodic points of view where the usual contracting-like assumptions of the fiber dynamics are replaced by weaker merely topological conditions. In this context, we…

Dynamical Systems · Mathematics 2017-10-12 Lorenzo J. Díaz , Edgar Matias

In this paper, we consider the self-affinity of planar curves. It is regarded as an important property to characterize the log-aesthetic curves which have been studied as reference curves or guidelines for designing aesthetic shapes in CAD…

Differential Geometry · Mathematics 2024-07-25 Shun Kumagai , Kenji Kajiwara

Unsupervised domain adaptation aiming to learn a specific task for one domain using another domain data has emerged to address the labeling issue in supervised learning, especially because it is difficult to obtain massive amounts of…

Machine Learning · Computer Science 2019-03-13 Jaeyoon Yoo , Changhwa Park , Yongjun Hong , Sungroh Yoon

Many real-world situations allow for the acquisition of additional relevant information when making an assessment with limited or uncertain data. However, traditional ML approaches either require all features to be acquired beforehand or…

Machine Learning · Computer Science 2021-03-15 Yang Li , Junier B. Oliva

Although the current Reply by Grebenev et al. (2021a) makes their original analysis in Grebenev et al. (2017) more transparent, the actual problem remains. Their claim to have analytically proven conformal invariance in 2D turbulence for a…

Fluid Dynamics · Physics 2021-10-22 Michael Frewer , George Khujadze

Recent advances in unsupervised domain adaptation mainly focus on learning shared representations by global distribution alignment without considering class information across domains. The neglect of class information, however, may lead to…

Computer Vision and Pattern Recognition · Computer Science 2019-04-16 Chao Chen , Zhihang Fu , Zhihong Chen , Zhaowei Cheng , Xinyu Jin , Xian-Sheng Hua

The performance of face recognition system degrades when the variability of the acquired faces increases. Prior work alleviates this issue by either monitoring the face quality in pre-processing or predicting the data uncertainty along with…

Computer Vision and Pattern Recognition · Computer Science 2021-07-27 Qiang Meng , Shichao Zhao , Zhida Huang , Feng Zhou

Properties of the recently reported homogeneous Hilbert curves are deduced and reported. The nature of the affine transformations involved in the construction of the Hilbert curves is explored. The analytical representation of proper and…

Algebraic Geometry · Mathematics 2013-11-13 E. Estevez-Rams , I. Brito-Reyes

The main intention of the paper is to investigate an osculating curve under the conformal map. We obtain a sufficient condition for the conformal invariance of an osculating curve. We also find an equivalent system of a geodesic curve under…

General Mathematics · Mathematics 2020-03-18 Absos Ali Shaikh , Mohamd Saleem Lone , Pinaki Ranjan Ghosh

Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and explainability concerns and that finds useful applications in…

Computation and Language · Computer Science 2021-11-10 Safa Alsaidi , Amandine Decker , Esteban Marquer , Pierre-Alexandre Murena , Miguel Couceiro

Feature learning in neural networks is crucial for their expressive power and inductive biases, motivating various theoretical approaches. Some approaches describe network behavior after training through a change in kernel scale from…

Disordered Systems and Neural Networks · Physics 2025-05-29 Noa Rubin , Kirsten Fischer , Javed Lindner , David Dahmen , Inbar Seroussi , Zohar Ringel , Michael Krämer , Moritz Helias

Spurious correlations are a threat to the trustworthiness of natural language processing systems, motivating research into methods for identifying and eliminating them. However, addressing the problem of spurious correlations requires more…

Computation and Language · Computer Science 2022-05-05 Jacob Eisenstein

Unlike many other works, where authors are usually focused on one or two quality criteria, the current manuscript, which is a generalization of the article [35] published in Russian, offers a multi-criteria approach to the assessment of the…

Graphics · Computer Science 2022-02-04 Valerijan Muftejev , Rushan Ziatdinov , Rifkat Nabiyev

The similarity of feature representations plays a pivotal role in the success of problems related to domain adaptation. Feature similarity includes both the invariance of marginal distributions and the closeness of conditional distributions…

Machine Learning · Computer Science 2022-01-10 Ammar Shaker , Shujian Yu , Daniel Oñoro-Rubio

Discovery processes have been an important topic in the network science field. The exploration of nodes can be understood as the knowledge acquisition process taking place in the network, where nodes represent concepts and edges are the…

Social and Information Networks · Computer Science 2021-03-16 Lucas Guerreiro , Filipi N. Silva , Diego R. Amancio

We construct the complete structural phase diagram of polymer adsorption at substrates with attractive stripe-like patterns in the parameter space spanned by the adsorption affinity of the stripes and temperature. Results were obtained by…

Statistical Mechanics · Physics 2014-04-14 Monika Möddel , Wolfhard Janke , Michael Bachmann
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