Výsledky vyhledávání - k‐additive approximation algorithm*

Exact and approximate algorithms for clustering problem in wireless sensor networks.

Autoři: Yarinezhad, Ramin Hashemi, Seyed Naser

Zdroj: IET Communications (Wiley-Blackwell). Mar2020, Vol. 14 Issue 4, p580-587. 8p.

Témata: *SENSOR networks, *APPROXIMATION theory, *WIRELESS sensor networks, *RESOURCE allocation, *COMPLEXITY (Philosophy), RELIABILITY of telecommunication

Approximation and Online Algorithms : 22nd International Workshop, WAOA 2024, Egham, UK, September 5–6, 2024, Proceedings

Autoři: Marcin Bieńkowski Matthias Englert

Resource Type: eBook.

Témata: Approximation algorithms--Congresses, Online algorithms--Congresses

Categories: MATHEMATICS / Numerical Analysis, COMPUTERS / Computer Science, COMPUTERS / Database Administration & Management, COMPUTERS / Information Theory, MATHEMATICS / Algebra / General, MATHEMATICS / Discrete Mathematics

Polynomial Time Approximation Algorithms for Multi-Constrained QoS Routing

Autoři: Krishnaiyan Thulasiraman Jian Tang Guoliang Xue a další

Zdroj: IEEE/ACM Transactions on Networking. 16:656-669

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/4460528
https://doi.acm.org/10.1145/1399562.1399575
https://dl.acm.org/citation.cfm?id=1399575
https://asu.pure.elsevier.com/en/publications/polynomial-time-approximation-algorithms-for-multi-constrained-qo
https://dblp.uni-trier.de/db/journals/ton/ton16.html#XueZTT08
https://ieeexplore.ieee.org/document/4460528

Comparative performance of bagging and boosting ensemble models for predicting lumpy skin disease with multiclass-imbalanced data.

Autoři: Gouda, Hagar F. Abdallah, Fatma D. M.

Zdroj: Scientific Reports; 11/10/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: LUMPY skin disease, ENSEMBLE learning, BOOSTING algorithms, RESAMPLING (Statistics), VETERINARY public health

Enhancing machine learning models with metaheuristic Optimization techniques for accurate prediction of PSC in FRP-reinforced concrete slabs.

Autoři: Urkude, Nandini Hora, M.S. Utkarsh

Zdroj: Mechanics of Advanced Materials & Structures; 2025, Vol. 32 Issue 15, p3591-3607, 17p

Témata: METAHEURISTIC algorithms, FIBER-reinforced concrete, MACHINE learning, BOOSTING algorithms, SHEAR strength, MATHEMATICAL optimization

Polynomial Time Approximation Algorithms for Multi-Constrained QoS Routing.

Autoři: Guoliang Xue Weiyi Zhang Jian Tang a další

Zdroj: IEEE/ACM Transactions on Networking; Jun2008, Vol. 16 Issue 3, p656-669, 14p

Témata: ALGORITHMS, COMPUTER programming, QUALITY of service, COMPUTER networks, DIGITAL communications, ELECTRONIC data processing

Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms.

Autoři: Ullah, Rizwan Jan, Muhammad Naveed Tahir, Muhammad

Zdroj: Future Business Journal; 6/11/2025, Vol. 11 Issue 1, p1-20, 20p

Témata: MACHINE learning, BOOSTING algorithms, ARTIFICIAL intelligence, SMALL business, INVESTORS

Information-Based Evaluation of Approximation Methods in Dempster-Shafer Theory.

Autoři: Sarabi-Jamab, Atiye Araabi, Babak N.

Zdroj: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Aug2016, Vol. 24 Issue 4, p503-535, 33p

Témata: INFORMATION theory, APPROXIMATION theory, DEMPSTER-Shafer theory, COMPUTATIONAL complexity, NUMBER theory

Multiconstrained QoS Routing: A Norm Approach.

Autoři: Guoliang Xue Makki, S. Kami

Zdroj: IEEE Transactions on Computers; Jun2007, Vol. 56 Issue 6, p859-863, 5p

Témata: QUALITY of service, QUALITY control, ROUTING (Computer network management), COMPUTER network management, CHECK-routing symbols, NETWORK routers, ALGORITHMS, COMPUTER systems, COMPUTER networks

Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles.

Autoři: Liang, Jiaxin Zhao, Hai Zhou, Shengxue a další

Zdroj: Scientific Reports; 4/28/2025, Vol. 15 Issue 1, p1-10, 10p

Témata: DRUG solubility, ANT algorithms, COMPUTATIONAL intelligence, RANDOM forest algorithms, CLOBETASOL, SUPERCRITICAL carbon dioxide

Combinatorial Auctions with Restricted Complements.

Autoři: Abraham, Ittai Babaioff, Moshe Dughmi, Shaddin a další

Zdroj: EC: Electronic Commerce; 2012, p3-16, 14p, 3 Charts

Témata: INTERNET auctions, ALGORITHMS, COMPUTER simulation, SIMULATION methods & models, APPROXIMATION theory

Prediction of river dissolved oxygen (DO) based on multi-source data and various machine learning coupling models.

Autoři: Zhao, Yubo Chen, Mo

Zdroj: PLoS ONE; 3/4/2025, Vol. 20 Issue 3, p1-30, 30p

Témata: MACHINE learning, BODIES of water, DISCRETE wavelet transforms, OPTIMIZATION algorithms, PRINCIPAL components analysis

CONVERGENCE RATE OF INCREMENTAL GRADIENT AND INCREMENTAL NEWTON METHODS.

Autoři: GÜRBÜZBALABAN, M. OZDAGLAR, A. PARRILO, P. A.

Zdroj: SIAM Journal on Optimization; 2019, Vol. 29 Issue 4, p2542-2565, 24p

Témata: NEWTON-Raphson method, DISTRIBUTED computing, SMOOTHNESS of functions, STOCHASTIC approximation, ALGORITHMS

Finding a Path Subject to Many Additive QoS Constraints.

Autoři: Guoliang Xue Arunabha Sen Weiyi Zhang a další

Zdroj: IEEE/ACM Transactions on Networking; Feb2007, Vol. 15 Issue 1, p201-211, 11p

Témata: ROUTING (Computer network management), QUALITY of service, COMPUTER programming, ALGORITHMS, COMPUTER science research, GRAPH algorithms

A quantum online portfolio optimization algorithm.

Autoři: Lim, Debbie Rebentrost, Patrick

Zdroj: Quantum Information Processing; Mar2024, Vol. 23 Issue 3, p1-29, 29p

Témata: OPTIMIZATION algorithms, PORTFOLIO management (Investments), TIME complexity, QUANTUM computers, QUANTUM states, ONLINE algorithms

Machine Learning for Breast Cancer Detection with Dual-Port Textile UWB MIMO Bra-Tenna System.

Autoři: Elnaggar, Azza H. El-Hameed, Anwer S. Abd Yakout, Mohamed A. a další

Zdroj: Information; Aug2024, Vol. 15 Issue 8, p467, 36p

Témata: MACHINE learning, RANDOM forest algorithms, RECEIVER operating characteristic curves, DECISION trees, SUPPORT vector machines, BOOSTING algorithms

Explainable AI‐Driven Optimal Feature Selection for the Identification of Structural Damage.

Autoři: Wang, Xinwei Wei, Zheng Wang, Zhihao a další

Zdroj: Structural Control & Health Monitoring; 9/8/2025, Vol. 2025, p1-23, 23p

Témata: FEATURE selection, DEEP learning, DAMAGE models, ARTIFICIAL intelligence, STRUCTURAL failures

Ultrametric approximations of a Drygas functional equation.

Autoři: Charifi, Ahmed Rassias, John M. Almahalebi, Muaadh a další

Zdroj: Advances in Pure & Applied Mathematics; Jul2016, Vol. 7 Issue 3, p155-164, 10p

Témata: FUNCTIONAL analysis, APPROXIMATION algorithms, APPROXIMATION theory, FUNCTIONAL equations, AUTOMORPHISM groups

The BTC Price Prediction Paradox Through Methodological Pluralism.

Autoři: Paskaleva, Mariya Vasenska, Ivanka

Zdroj: Risks; Oct2025, Vol. 13 Issue 10, p195, 43p

Témata: BITCOIN, MACHINE learning, PREDICTION models, GARCH model, LONG short-term memory, RISK management in business, ECONOMIC forecasting, INVESTMENT policy

Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse's Internal Temperature Prediction.

Autoři: Esparza-Gómez, Juan M. Luque-Vega, Luis F. Guerrero-Osuna, Héctor A. a další

Zdroj: Applied Sciences (2076-3417); Nov2023, Vol. 13 Issue 22, p12341, 24p

Témata: BOOSTING algorithms, RECURRENT neural networks, DEW point, SUPERVISED learning, GREENHOUSES, AGRICULTURE, TEMPERATURE