Search Results - computing system problems｜((ml algorithms) OR (((descent algorithm) OR (learning algorithms))))~ :: K.UTB vyhledávací portál

Loading…

Machine learning on quantum experimental data toward solving quantum many-body problems

by Cho, Gyungmin, Kim, Dohun
Published in Nature communications (30.08.2024)

Get full text

Journal Article

Loading…

A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems

by Razaviyayn, Meisam, Hong, Mingyi, Reyhanian, Navid, Luo, Zhi-Quan
Published in Mathematical programming (01.07.2019)

Get full text

Journal Article

Loading…

Accelerated stochastic alternating mirror descent ascent algorithm for nonconvex-strongly concave minimax problems

by Zhao, Lulu, Liu, Yue, Liu, Yong-Jin
Published in Journal of applied mathematics & computing (01.10.2025)

Get full text

Journal Article

Loading…

Coordinate descent algorithms

by Wright, Stephen J.
Published in Mathematical programming (01.06.2015)

Get full text

Journal Article

Loading…

Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

by Attouch, Hedy, Bolte, Jérôme, Svaiter, Benar Fux
Published in Mathematical programming (01.02.2013)

Get full text

Journal Article

Loading…

A deep reinforcement learning assisted simulated annealing algorithm for a maintenance planning problem

by Kosanoglu, Fuat, Atmis, Mahir, Turan, Hasan Hüseyin
Published in Annals of operations research (01.08.2024)

Get full text

Journal Article

Loading…

A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules

by Salimi-Badr, Armin, Ebadzadeh, Mohammad Mehdi
Published in Neurocomputing (Amsterdam) (22.01.2022)

Get full text

Journal Article

Loading…

Efficient gradient descent algorithm with anderson acceleration for separable nonlinear models

by Chen, Guang-Yong, Lin, Xin, Xue, Peng, Gan, Min
Published in Nonlinear dynamics (01.05.2025)

Get full text

Journal Article

Loading…

Dual subgradient algorithms for large-scale nonsmooth learning problems

by Cox, Bruce, Juditsky, Anatoli, Nemirovski, Arkadi
Published in Mathematical programming (01.12.2014)

Get full text

Journal Article

Loading…

Automated Program Repair: Emerging Trends Pose and Expose Problems for Benchmarks

by Renzullo, Joseph, Reiter, Pemma, Weimer, Westley, Forrest, Stephanie
Published in ACM computing surveys (01.08.2025)

Get full text

Journal Article

Loading…

Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection

by Liu, Lijue, Wu, Xiaoyu, Li, Shihao, Li, Yi, Tan, Shiyang, Bai, Yongping
Published in BMC medical informatics and decision making (28.03.2022)

Get full text

Journal Article

Loading…

An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant

by Gao, Xue, Cai, Xingju, Wang, Xiangfeng, Han, Deren
Published in Journal of global optimization (01.09.2023)

Get full text

Journal Article

Loading…

A Greedy Randomized Block Coordinate Descent Algorithm with k-means Clustering for Solving Large Linear Least-squares Problems

by Zhang, Ke, Liu, Chun-Ting, Jiang, Xiang-Long
Published in IAENG international journal of computer science (01.05.2024)

Get full text

Journal Article

Loading…

Distributed Communication-Sliding Mirror-Descent Algorithm for Nonsmooth Resource Allocation Problem

by Wang, Yinghui, Tu, Zhipeng, Qin, Huashu
Published in Journal of systems science and complexity (01.08.2022)

Get full text

Journal Article

Loading…

A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints

by Necoara, Ion, Patrascu, Andrei
Published in Computational optimization and applications (01.03.2014)

Get full text

Journal Article

Loading…

Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

by Wang, Mengdi, Fang, Ethan X., Liu, Han
Published in Mathematical programming (01.01.2017)

Get full text

Journal Article

Loading…

Making Fair ML Software using Trustworthy Explanation

by Chakraborty, Joymallya, Peng, Kewen, Menzies, Tim
Published in 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) (01.09.2020)

Get full text

Conference Proceeding

Loading…

GPUSGD: A GPU-accelerated stochastic gradient descent algorithm for matrix factorization

by Jin, Jing, Lai, Siyan, Hu, Su, Lin, Jing, Lin, Xiaola
Published in Concurrency and computation (25.09.2016)

Get full text

Journal Article

Loading…

A Q-Learning-Based Brainstorming Optimization Algorithm for Solving Multimodal Optimization Problems

by Cheng, Shi, Jin, Honglin, Lu, Hui, Shi, Yuhui
Published in IEEE transactions on consumer electronics (01.05.2025)

Get full text

Journal Article

Loading…

Probabilistic partition of unity networks for high‐dimensional regression problems

by Fan, Tiffany, Trask, Nathaniel, D'Elia, Marta, Darve, Eric
Published in International journal for numerical methods in engineering (30.05.2023)

Get full text

Journal Article

Refine Results

Format

Subject Area

Topic

Language

Year of Publication

Database