Search Results - "Optimization Methods in Machine Learning"
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1
Authors: et al.
Source: International Journal of Machine Learning and Cybernetics. 16:4545-4559
Subject Terms: Physics, Mathematical optimization, Computational Mechanics, Extrapolation, Geometry, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Mathematical analysis, Regular polygon, Algorithm, Engineering, Multispectral and Hyperspectral Image Fusion, Artificial Intelligence, Physical Sciences, Computer Science, Media Technology, FOS: Mathematics, Optimization Methods in Machine Learning, Classical mechanics, Inertial frame of reference, Mathematics
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2
Authors: et al.
Source: IEEE Transactions on Network and Service Management. 21:418-436
Subject Terms: Artificial neural network, FOS: Computer and information sciences, Artificial intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Convolutional neural network, 02 engineering and technology, Edge device, Bottleneck, Deep Learning, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Optimization Methods in Machine Learning, Embedded system, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Deep learning, Computer science, Distributed computing, Process (computing), Overhead (engineering), Operating system, Computer Science, Physical Sciences, Federated Learning
Access URL: http://arxiv.org/abs/2211.10948
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3
Authors:
Source: Journal of Computational and Graphical Statistics. 32:1348-1360
Subject Terms: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Economics, Computational Mechanics, Sample size determination, Statistics - Computation, Estimator, Mathematical analysis, Engineering, Artificial Intelligence, FOS: Mathematics, Optimization Methods in Machine Learning, Large-Scale Optimization, Active Learning in Machine Learning Research, Computation (stat.CO), Economic growth, Stochastic Gradient Descent, Computer network, Gradient descent, Mathematical optimization, Statistics, Fixed point, Rate of convergence, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Algorithm, Channel (broadcasting), Computer Science, Physical Sciences, Computation, Convergence (economics), Mathematics
Access URL: http://arxiv.org/abs/2304.06564
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4
Authors:
Source: Journal of the American Statistical Association. 119:1215-1228
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5
Authors: et al.
Source: IEEE Access, Vol 10, Pp 124766-124776 (2022)
Subject Terms: Artificial intelligence, Random variable, Economics, Federated learning, privacy-preserving, 02 engineering and technology, Participatory Sensing, 7. Clean energy, Machine Learning, Database, Selection (genetic algorithm), Server, Independent and identically distributed random variables, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Standard deviation, Optimization Methods in Machine Learning, 10. No inequality, Data mining, Economic growth, Computer network, 4. Education, Statistics, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Crowdsourcing for Research and Data Collection, 16. Peace & justice, Computer science, TK1-9971, Computer Science Applications, World Wide Web, N-IID, worker selection strategies, Computer Science, Physical Sciences, Convergence (economics), 8. Economic growth, Electrical engineering. Electronics. Nuclear engineering, Federated Learning, Mathematics, Index (typography), Data modeling
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6
Authors: et al.
Source: Journal of Inequalities and Applications, Vol 2023, Iss 1, Pp 1-16 (2023)
Subject Terms: Financial economics, Blind Source Separation and Independent Component Analysis, Artificial intelligence, Convex Optimization, Economics, Sparsity in Signal Processing, Computational Mechanics, 0211 other engineering and technologies, Transaction cost, 02 engineering and technology, 01 natural sciences, Sparse Approximation, FOS: Economics and business, Database, 90C90, 90C26, 91G10, Engineering, Artificial Intelligence, QA1-939, FOS: Mathematics, Mean–variance model, Proximal method, Optimization Methods in Machine Learning, Regularization (linguistics), Business, Econometrics, 0101 mathematics, Mathematics - Optimization and Control, Volatility (finance), Database transaction, Marketing, Diversification (marketing strategy), Sparse portfolio, Portfolio optimization, Mathematical optimization, Theory and Applications of Compressed Sensing, Computer science, Algorithm, Minimum transaction cost, Optimization and Control (math.OC), Physical Sciences, Signal Processing, Computer Science, Sparse Representations, Approximation Algorithms, Portfolio, Mathematics, Finance
File Description: text
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7
Authors:
Source: IEEE Access, Vol 9, Pp 99581-99588 (2021)
Subject Terms: Artificial neural network, Artificial intelligence, Economics, Coordinate Descent, Control (management), 02 engineering and technology, Mathematical analysis, 01 natural sciences, Deep Learning, Stochastic gradient descent, Artificial Intelligence, Gradient method, Machine learning, FOS: Mathematics, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, Momentum (technical analysis), Optimization Methods in Machine Learning, Classical mechanics, Theory and Applications of Extreme Learning Machines, gradient descent, Economic growth, Stochastic Gradient Descent, 0105 earth and related environmental sciences, Gradient descent, Physics, Mathematical optimization, Moment (physics), Applied mathematics, Computer science, Regression, TK1-9971, Programming language, Maxima and minima, Computer Science, Physical Sciences, Convergence (economics), Deep Learning in Computer Vision and Image Recognition, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Approximation Algorithms, optimization, Mathematics, Finance, image classification, Constant (computer programming)
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8
Authors: et al.
Source: IEEE Access, Vol 9, Pp 118271-118290 (2021)
Subject Terms: Artificial neural network, 0301 basic medicine, Artificial intelligence, Ciphertext, Exponentiation, Encryption, MNIST database, Mathematical analysis, Searchable Encryption, Activation function, 03 medical and health sciences, Theoretical computer science, Artificial Intelligence, FOS: Mathematics, Optimization Methods in Machine Learning, pairwise functions, Active Learning in Machine Learning Research, Pairing-based Cryptography, 0303 health sciences, Discrete logarithm, Advanced Cryptographic Schemes and Protocols, privacy-preserving machine learning, Public-key cryptography, Plaintext, Computer science, Homomorphic encryption, TK1-9971, Exploratory analysis, Algorithm, Operating system, homomorphic encryption scheme, Computer Science, Physical Sciences, polynomial approximation, Cryptography, Electrical engineering. Electronics. Nuclear engineering, Privacy-Preserving Computation, Homomorphic Encryption, Approximation Algorithms, homomorphic image inference, Mathematics
Access URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09521226.pdf
https://doaj.org/article/f78bfa943e7f46b2a727bf8fc587c134
https://dblp.uni-trier.de/db/journals/access/access9.html#AgyepongSWKE21
https://doi.org/10.1109/ACCESS.2021.3106888
https://doaj.org/article/f78bfa943e7f46b2a727bf8fc587c134
https://ieeexplore.ieee.org/document/9521226/; -
9
Authors: S. Kabbadj
Source: Abstract and Applied Analysis, Vol 2020 (2020)
Abstr. Appl. Anal.Subject Terms: Bregman divergence, Convex Optimization, Economics, Computational Mechanics, 0211 other engineering and technologies, Geometry, Evolutionary biology, Epistemology, 02 engineering and technology, Proximal Gradient Methods, Sparse Approximation, Engineering, Convex function, Artificial Intelligence, Gradient method, QA1-939, FOS: Mathematics, Optimization Methods in Machine Learning, Orthogonal Matching Pursuit, Biology, Economic growth, Numerical Analysis, Numerical Optimization Techniques, Mathematical optimization, Theory and Applications of Compressed Sensing, Applied mathematics, FOS: Philosophy, ethics and religion, Regular polygon, Algorithm, Philosophy, Function (biology), Physical Sciences, Computer Science, Convergence (economics), Simple (philosophy), Approximation Algorithms, Mathematics
File Description: text/xhtml; application/pdf
Access URL: https://downloads.hindawi.com/journals/aaa/2020/1963980.pdf
https://doaj.org/article/463c4e8a07e4417f8af2f114711102bc
https://ideas.repec.org/a/hin/jnlaaa/1963980.html
https://projecteuclid.org/journals/abstract-and-applied-analysis/volume-2020/issue-none/Inexact-Version-of-Bregman-Proximal-Gradient-Algorithm/10.1155/2020/1963980.full
http://downloads.hindawi.com/journals/aaa/2020/1963980.pdf
https://downloads.hindawi.com/journals/aaa/2020/1963980.pdf
https://www.hindawi.com/journals/aaa/2020/1963980/
https://projecteuclid.org/euclid.aaa/1590544834 -
10
Authors: et al.
Source: IEEE Transactions on Signal Processing. 68:4855-4870
Subject Terms: 0209 industrial biotechnology, Convex Optimization, Computer Networks and Communications, Computational Mechanics, Geometry, 02 engineering and technology, Mathematical analysis, Quantum mechanics, Engineering, Convex function, Artificial Intelligence, Distributed Multi-Agent Coordination and Control, Distributed Optimization, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Optimization Methods in Machine Learning, Logarithm, Large-Scale Optimization, Mathematics - Optimization and Control, Stochastic Gradient Descent, Physics, Communication complexity, Theory and Applications of Compressed Sensing, Sigma, Convex optimization, Regular polygon, Algorithm, Combinatorics, Optimization and Control (math.OC), Computer Science, Physical Sciences, Computation, Approximation Algorithms, Mathematics
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Authors: Nahathai Rerkruthairat
Source: Journal of Probability and Statistics, Vol 2019 (2019)
Subject Terms: Statistics and Probability, Artificial intelligence, Computer science, 01 natural sciences, 7. Clean energy, QA273-280, Random Matrix Theory and Its Applications, Algorithm, Artificial Intelligence, 13. Climate action, Physical Sciences, Computer Science, FOS: Mathematics, Optimization Methods in Machine Learning, Bayesian Monte Carlo Methods in Scientific Inference, 0101 mathematics, Probabilities. Mathematical statistics, Mathematics, Stochastic Gradient Descent
File Description: text/xhtml
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12
Authors: et al.
Source: IEEE Access, Vol 7, Pp 179575-179590 (2019)
Subject Terms: FOS: Computer and information sciences, Artificial neural network, Economics, Social Sciences, Trust-Aware Recommender Systems, momentum, 02 engineering and technology, fractional calculus, Optimization of Multi-Armed Bandit Problems, Management Science and Operations Research, Decision Sciences, Database, Context-Aware Recommender Systems, Stochastic gradient descent, Artificial Intelligence, stochastic gradient descent, Machine learning, Recommender systems, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, e-commerce, Momentum (technical analysis), Optimization Methods in Machine Learning, Recommender system, Economic growth, Stochastic Gradient Descent, Gradient descent, Mathematical optimization, Scalability, Content-Based Recommendation, Rate of convergence, Computer science, TK1-9971, Algorithm, Recommender System Technologies, Channel (broadcasting), Computer Science, Physical Sciences, Convergence (economics), Telecommunications, Electrical engineering. Electronics. Nuclear engineering, Mathematics, Finance, Information Systems
Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08908716.pdf
https://doaj.org/article/f9f0fbd8686e4e5ab4ad161e266c32b4
https://ieeexplore.ieee.org/document/8908716/
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002210018886467
https://doi.org/10.1109/ACCESS.2019.2954859
https://dblp.uni-trier.de/db/journals/access/access7.html#KhanZAAD19 -
13
Authors:
Source: 2017 25th European Signal Processing Conference (EUSIPCO). :136-140
Subject Terms: Regret Analysis, Convex Optimization, Computer Networks and Communications, Economics, Social Sciences, Geometry, Evolutionary biology, 02 engineering and technology, Optimization of Multi-Armed Bandit Problems, Management Science and Operations Research, Decision Sciences, Systems engineering, 12. Responsible consumption, Task (project management), Context (archaeology), Engineering, Convex function, Distributed Multi-Agent Coordination and Control, Artificial Intelligence, Distributed Optimization, Machine learning, Resource management (computing), Dynamic network analysis, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Optimization Methods in Machine Learning, Constraint (computer-aided design), Optimization problem, Resource allocation, Biology, Economic growth, Computer network, Mathematical optimization, Paleontology, Bandit Optimization, Saddle point, Computer science, Distributed computing, Convex optimization, Regular polygon, Regret, Online Learning, Function (biology), Computer Science, Physical Sciences, Convergence (economics), Mathematics
Access URL: https://zenodo.org/record/1159280/files/1570341737.pdf
https://ieeexplore.ieee.org/document/8081184/
https://experts.umn.edu/en/publications/online-convex-optimization -for-dynamic-network-resource-allocatio
https://dblp.uni-trier.de/db/conf/eusipco/eusipco2017.html#ChenLG17
http://dblp.uni-trier.de/db/conf/eusipco/eusipco2017.html#ChenLG17
https://doi.org/10.23919/EUSIPCO.2017.8081184
http://ieeexplore.ieee.org/document/8081184/ -
14
Authors: et al.
Subject Terms: Artificial intelligence, Convex Optimization, Economics, MNIST database, Conjugate gradient method, Quantum mechanics, 7. Clean energy, Term (time), Artificial Intelligence, Gradient method, Optimization Methods in Machine Learning, Swarm Intelligence Optimization Algorithms, Theory and Applications of Extreme Learning Machines, Economic growth, Ensemble Learning, Physics, 4. Education, Python (programming language), Deep learning, Computer science, Regression, Algorithm, Operating system, Particle Swarm Optimization, Computer Science, Physical Sciences, Convergence (economics), Approximation Algorithms
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Authors: et al.
Contributors: et al.
Source: Front Neurosci
Frontiers in Neuroscience, Vol 15 (2022)
Frontiers in NeuroscienceSubject Terms: Artificial neural network, Parallel computing, Artificial intelligence, Convex Optimization, [SPI] Engineering Sciences [physics], Memristive Devices for Neuromorphic Computing, Ferroelectric Devices for Low-Power Nanoscale Applications, Hyperdimensional Computing, Neurosciences. Biological psychiatry. Neuropsychiatry, 02 engineering and technology, 7. Clean energy, 01 natural sciences, Filter (signal processing), Engineering, Artificial Intelligence, Computer engineering, 0103 physical sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Optimization Methods in Machine Learning, Electrical and Electronic Engineering, Brain-inspired Computing, Large-Scale Optimization, RRAM (resistive RAM), Neuromorphic Computing, Arithmetic, Stochastic computing, near-sensor computing, Computer hardware, Edge computing, Sampling (signal processing), binarized neural network (BNN), Computer science, Programming language, Enhanced Data Rates for GSM Evolution, Algorithm, stochastic computing (SC), Implementation, Physical Sciences, Computer Science, Computation, Pipeline (software), Computer vision, in-memory computing (IMC), Binary number, 0210 nano-technology, Mathematics, RC321-571, Neuroscience
File Description: application/pdf
Access URL: https://www.frontiersin.org/articles/10.3389/fnins.2021.781786/pdf
https://pubmed.ncbi.nlm.nih.gov/35069101
https://cnrs.hal.science/hal-03861128v1/document
https://cnrs.hal.science/hal-03861128v1
https://doi.org/10.3389/fnins.2021.781786
https://doaj.org/article/9dde92c2e8a44333a4311025a7df76d5 -
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Authors:
Source: Quantum, Vol 7, p 1030 (2023)
Subject Terms: 0301 basic medicine, Quantum Computation, Parallel computing, FOS: Computer and information sciences, Computer Science - Machine Learning, Convex Optimization, Quantum tunnelling, QC1-999, FOS: Physical sciences, Speedup, Quantum mechanics, Mathematical analysis, 01 natural sciences, Quantum, Machine Learning (cs.LG), 03 medical and health sciences, Quantum walk, Artificial Intelligence, Quantum Computing and Simulation, Computer Science - Data Structures and Algorithms, 0103 physical sciences, FOS: Mathematics, Optimization Methods in Machine Learning, Data Structures and Algorithms (cs.DS), Mathematics - Optimization and Control, Quantum Machine Learning, Quantum Physics, 0303 health sciences, Fault-tolerant Quantum Computation, Physics, Computer science, Quantum Information and Computation, Algorithm, Maxima and minima, Optimization and Control (math.OC), Quantum Simulation, Computer Science, Physical Sciences, Quantum algorithm, Statistical physics, Quantum Physics (quant-ph), Mathematics
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17
Authors: et al.
Source: Journal of Computer Science. 12:611-617
Subject Terms: FOS: Computer and information sciences, CloudSim, Computer Networks and Communications, 0102 computer and information sciences, 02 engineering and technology, Cloud Computing and Big Data Technologies, Mathematical analysis, 01 natural sciences, Workflow, Database, Distributed Grid Computing Systems, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Optimization Methods in Machine Learning, Large-Scale Optimization, Particle swarm optimization, Mathematical optimization, Cloud Computing, Job shop scheduling, Computer science, Distributed computing, Task Scheduling, Algorithm, High-Performance Computing, Operating system, Schedule, Maxima and minima, Computer Science, Physical Sciences, Scheduling (production processes), Mathematics, Information Systems, Workflow Management
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18
Authors: et al.
Source: Cybersecurity, Vol 3, Iss 1, Pp 1-21 (2020)
Subject Terms: FOS: Computer and information sciences, Secure Multi-party Computation, Computer engineering. Computer hardware, Computer Science - Cryptography and Security, FOS: Political science, Secure outsourced computation, FOS: Law, Secret sharing technique, TK7885-7895, Server, Artificial Intelligence, Computer security, Privacy-preserving, Cloud computing, Optimization Methods in Machine Learning, Political science, Secure Computation, Secure two-party computation, Computer network, Advanced Cryptographic Schemes and Protocols, Information Security, Privacy-Preserving Techniques for Data Analysis and Machine Learning, QA75.5-76.95, Side channel attack, Computer science, Homomorphic encryption, Outsourcing, Information leakage, Distributed computing, Algorithm, Operating system, Electronic computers. Computer science, Computer Science, Physical Sciences, Computation, Against side-channel attack, Cryptography, Privacy-Preserving Computation, Secure multi-party computation, Cryptography and Security (cs.CR), Law
File Description: application/pdf
Access URL: https://cybersecurity.springeropen.com/track/pdf/10.1186/s42400-020-00057-3
http://arxiv.org/abs/1909.12540
https://doaj.org/article/299f0bf7841c4c79a4941fcdc80c56ca
https://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-12540
https://doi.org/10.1186/s42400-020-00057-3
https://cybersecurity.springeropen.com/articles/10.1186/s42400-020-00057-3
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6493&context=sis_research
https://link.springer.com/content/pdf/10.1186/s42400-020-00057-3.pdf
https://link.springer.com/article/10.1186/s42400-020-00057-3 -
19
Authors: et al.
Source: PLoS One
PLoS ONE, Vol 18, Iss 3, p e0281250 (2023)Subject Terms: Artificial neural network, Artificial intelligence, Convex Optimization, Economics, Science, Feature (linguistics), Line (geometry), Computational Mechanics, Geometry, Conjugate gradient method, Engineering, Robotic Surgical Procedures, Artificial Intelligence, Computer security, FOS: Mathematics, Optimization Methods in Machine Learning, Orthogonal Matching Pursuit, Economic growth, Numerical Analysis, Gradient descent, Numerical Optimization Techniques, RADIUS, Mathematical optimization, Geology, Linguistics, FOS: Earth and related environmental sciences, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, FOS: Philosophy, ethics and religion, Algorithm, Line search, Philosophy, Physical Sciences, Computer Science, Convergence (economics), FOS: Languages and literature, Medicine, Benchmark (surveying), Algorithms, Mathematics, Geodesy, Research Article
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Authors:
Source: European Journal of Electrical Engineering and Computer Science. 3
Subject Terms: Computer Networks and Communications, Electronic circuit, 02 engineering and technology, Random number generation, 7. Clean energy, 01 natural sciences, Channel Coding, Theoretical computer science, Engineering, Artificial Intelligence, Quantum Computing and Simulation, 0103 physical sciences, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Optimization Methods in Machine Learning, Stochastic computing, Statistics, Low-Density Parity-Check and Polar Codes, Computer science, Stochastic process, Algorithm, Stochastic Computing, Electrical engineering, Computer Science, Physical Sciences, Computation, Mathematics
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