Zobrazeno 1 - 10
of 4 416
pro vyhledávání: '"Yavas, A"'
We develop a general framework for clustering and distribution matching problems with bandit feedback. We consider a $K$-armed bandit model where some subset of $K$ arms is partitioned into $M$ groups. Within each group, the random variable associate
Externí odkaz:
http://arxiv.org/abs/2409.05072
Autor:
Orenstein, Gal, Krapivin, Viktor, Huang, Yijing, Zhan, Zhuquan, Munoz, Gilberto de la Pena, Duncan, Ryan A., Nguyen, Quynh, Stanton, Jade, Teitelbaum, Samuel, Yavas, Hasan, Sato, Takahiro, Hoffmann, Matthias C., Kramer, Patrick, Zhang, Jiahao, Cavalleri, Andrea, Comin, Riccardo, Dean, Mark P. M., Disa, Ankit S., Forst, Michael, Johnson, Steven L., Mitrano, Matteo, Rappe, Andrew M., Reis, David, Zhu, Diling, Nelson, Keith A., Trigo, Mariano
The nature of the "failed" ferroelectric transition in SrTiO3 has been a long-standing puzzle in condensed matter physics. A compelling explanation is the competition between ferroelectricity and an instability with a mesoscopic modulation of the pol
Externí odkaz:
http://arxiv.org/abs/2403.17203
Autor:
Yavas, Recep Can, Tan, Vincent Y. F.
We study variable-length feedback (VLF) codes with noiseless feedback for discrete memoryless channels. We present a novel non-asymptotic bound, which analyzes the average error probability and average decoding time of our modified Yamamoto--Itoh sch
Externí odkaz:
http://arxiv.org/abs/2401.16726
Autor:
Yavas, Recep Can, Tan, Vincent Y. F.
We study the best-arm identification problem in sparse linear bandits under the fixed-budget setting. In sparse linear bandits, the unknown feature vector $\theta^*$ may be of large dimension $d$, but only a few, say $s \ll d$ of these features have
Externí odkaz:
http://arxiv.org/abs/2311.00481
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-54 (2024)
Abstract This research breaks new ground in earthquake prediction for Los Angeles, California, by leveraging advanced machine learning and neural network models. We meticulously constructed a comprehensive feature matrix to maximize predictive accura
Externí odkaz:
https://doaj.org/article/f2a480517ba943868636d1427d7b5bcd
Autor:
Mishra, Aashwin, Brennan, Nicholas, Huang, Tianyu, Jaquith, Jason, Yavas, Hasan, Seaberg, Matthew
The hard X-ray instruments at the Linac Coherent Light Source are in the design phase for upgrades that will take full advantage of the high repetition rates that will become available with LCLS-II-HE. The current X-ray Correlation Spectroscopy instr
Externí odkaz:
http://arxiv.org/abs/2308.07521
We study variable-length codes for point-to-point discrete memoryless channels with noiseless unlimited-rate feedback that occurs in $L$ bursts. We term such codes variable-length bursty-feedback (VLBF) codes. Unlike classical codes with feedback aft
Externí odkaz:
http://arxiv.org/abs/2306.13743
Autor:
Yavas, Cemil Emre1 (AUTHOR) cy02470@georgiasouthern.edu, Chen, Lei1 (AUTHOR), Kadlec, Christopher1 (AUTHOR), Ji, Yiming1 (AUTHOR)
Publikováno v:
Scientific Reports. 10/18/2024, Vol. 14 Issue 1, p1-54. 54p.
Autor:
Emin Uysal, Sabiha Gulce Yavas, Gokce Dicle Kalaycioglu, Mustafa Polat, Halil Kalipcilar, Nihal Aydogan
Publikováno v:
Advanced Materials Interfaces, Vol 11, Iss 21, Pp n/a-n/a (2024)
Abstract One of the most important issues in the design and preparation of drug delivery systems in the recent years is versatility which includes providing synergistic therapeutic effects and sustainability. This study uses a redox‐active ferrocen
Externí odkaz:
https://doaj.org/article/0cfdf1826ad34c879a8bb8dcaa9ced3f
In this paper, a combat Unmanned Air Vehicle (UAV) is modeled in the simulation environment. The rotary wing UAV is successfully performed various tasks such as locking on the targets, tracking, and sharing the relevant data with surrounding vehicles
Externí odkaz:
http://arxiv.org/abs/2206.12941