Zobrazeno 1 - 10
of 784
pro vyhledávání: '"68Q32"'
Autor:
Yousaf, Iqra
This review explores the synthesis, characterization, and therapeutic applications of zinc oxide nanoparticles (ZnO NPs) in the treatment of diabetes mellitus. The study delves into both chemical and green synthesis methods, comparing their impacts o
Externí odkaz:
http://arxiv.org/abs/2409.04486
Many practical prediction algorithms represent inputs in Euclidean space and replace the discrete 0/1 classification loss with a real-valued surrogate loss, effectively reducing classification tasks to stochastic optimization. In this paper, we inves
Externí odkaz:
http://arxiv.org/abs/2411.10784
Models based on recursive adaptive partitioning such as decision trees and their ensembles are popular for high-dimensional regression as they can potentially avoid the curse of dimensionality. Because empirical risk minimization (ERM) is computation
Externí odkaz:
http://arxiv.org/abs/2411.04394
Identification of nonlinear dynamical systems is crucial across various fields, facilitating tasks such as control, prediction, optimization, and fault detection. Many applications require methods capable of handling complex systems while providing s
Externí odkaz:
http://arxiv.org/abs/2411.01982
In the last years there has been a growing interest in the study of learning problems associated with algebraic structures. The framework we use models the scenario in which a learner is given larger and larger fragments of a structure from a given t
Externí odkaz:
http://arxiv.org/abs/2410.22933
Autor:
Wagner, Jan-Samuel, DeCaprio, Dave, Raja, Abishek Chiffon Muthu, Holman, Jonathan M., Brady, Lauren K., Cheung, Sky C., Barzekar, Hosein, Yang, Eric, Martinez II, Mark Anthony, Soong, David, Sridhar, Sriram, Si, Han, Higgs, Brandon W., Hamadeh, Hisham, Ogden, Scott
We introduce Controller-Embedded Language Model Interactions (CELI), a framework that integrates control logic directly within language model (LM) prompts, facilitating complex, multi-stage task execution. CELI addresses limitations of existing promp
Externí odkaz:
http://arxiv.org/abs/2410.14627
Autor:
Bobba, Kumar Srinivas, K, Kartheeban, Sai, Vamsi Krishna, Bugga, Dinesh, Bolla, Vijaya Mani Surendra
This project proposes the development of a comprehensive real-time biodiversity monitoring system that harnesses sound data through a network of acoustic sensors and advanced artificial intelligence algorithms. The system analyzes sound recordings fr
Externí odkaz:
http://arxiv.org/abs/2410.12897
Autor:
Roy, Priyanka, Saminger-Platz, Susanne
One of the key problems in learning theory is to compute a function $f$ that closely approximates the relationship between some input $x$ and corresponding output $y$, such that $y\approx f(x)$. This approximation is based on sample points $(x_t,y_t)
Externí odkaz:
http://arxiv.org/abs/2410.08361
This paper considers an ergodic version of the bounded velocity follower problem, assuming that the decision maker lacks knowledge of the underlying system parameters and must learn them while simultaneously controlling. We propose algorithms based o
Externí odkaz:
http://arxiv.org/abs/2410.03221
Autor:
Bai, JinHui, Shi, Lei
Inspired by the structure of spherical harmonics, we propose the truncated kernel stochastic gradient descent (T-kernel SGD) algorithm with a least-square loss function for spherical data fitting. T-kernel SGD employs a "truncation" operation, enabli
Externí odkaz:
http://arxiv.org/abs/2410.01570