Search Results - machinery learning. computational learning theory. combinatorial optimization.

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.

Authors: Chen, Zhiqian Chen, Fanglan Zhang, Lei et al.

Source: ACM Computing Surveys; May2024, Vol. 56 Issue 5, p1-42, 42p

Subject Terms: COMPUTATIONAL learning theory, GRAPH neural networks, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, PATTERN recognition systems, DEEP learning, DIRECTED graphs

Beyond Worst-Case Analysis of Optimization in the Era of Machine Learning

Authors: Vlatakis Gkaragkounis, Emmanouil Vasileios

Subject Terms: Computer science, Artificial intelligence, Mathematics, Study and teaching, Machine learning, Mathematical models, Combinatorial optimization

Accelerating the prediction of stable materials with machine learning.

Authors: Griesemer SD Xia Y Wolverton C

Source: Nature computational science [Nat Comput Sci] 2023 Nov; Vol. 3 (11), pp. 934-945. Date of Electronic Publication: 2023 Nov 09.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8457 (Electronic) Linking ISSN: 26628457 NLM ISO Abbreviation: Nat Comput Sci Subsets: PubMed not MEDLINE; MEDLINE

Generalized Probabilistic Approximate Optimization Algorithm.

Authors: Abdelrahman AS Chowdhury S Morone F et al.

Source: Nature communications [Nat Commun] 2025 Dec 08. Date of Electronic Publication: 2025 Dec 08.

Publication Type: Journal Article

Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE

Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats.

Authors: Chunhua, Zhang Le, Fu Shengli, Li et al.

Source: Frontiers in Veterinary Science. 2025, p1-24. 24p.

Quantum approximate multi-objective optimization.

Authors: Kotil A Pelofske E Riedmüller S et al.

Source: Nature computational science [Nat Comput Sci] 2025 Oct 24. Date of Electronic Publication: 2025 Oct 24.

Publication Type: Journal Article

Journal Info: Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8457 (Electronic) Linking ISSN: 26628457 NLM ISO Abbreviation: Nat Comput Sci Subsets: MEDLINE

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).

Authors: Alexander, Francis J Ang, James Bilbrey, Jenna A et al.

Source: International Journal of High Performance Computing Applications; Nov2021, Vol. 35 Issue 6, p598-616, 19p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, PARTICIPATORY design, STATISTICAL learning, COMPUTER systems

Slowly Varying Regression Under Sparsity.

Authors: Bertsimas, Dimitris Digalakis Jr., Vassilis Li, Michael Lingzhi et al.

Source: Operations Research; May/Jun2025, Vol. 73 Issue 3, p1581-1597, 17p

Subject Terms: REGRESSION analysis, MACHINE learning, PARAMETER estimation, COMPUTATIONAL complexity, HOME prices, COMBINATORIAL optimization

A moth-flame algorithm based on social learning theory for influence maximization.

Authors: Zhang, Qiwen Zhang, Yitong

Source: International Journal of Modern Physics C: Computational Physics & Physical Computation; Jun2025, Vol. 36 Issue 6, p1-24, 24p

Subject Terms: SOCIAL learning theory, OPTIMIZATION algorithms, MACHINE learning, LEARNING strategies, SOCIAL influence

Quadratic Memory Is Necessary for Optimal Query Complexity in Convex Optimization: Center of Mass Is Pareto Optimal.

Authors: Blanchard, Moïse Zhang, Junhui Jaillet, Patrick

Source: Mathematics of Operations Research; Nov2025, Vol. 50 Issue 4, p2941-2971, 31p

Subject Terms: CONVEX programming, MATHEMATICAL optimization, COMPUTATIONAL complexity, LIPSCHITZ continuity, FEASIBILITY problem (Mathematical optimization), COMMUNICATION complexity (Information theory)

Using Deep Reinforcement Learning to Decide Test Length.

Authors: Zoucha, James Himelfarb, Igor Tang, Nai-En

Source: Educational & Psychological Measurement; Oct2025, Vol. 85 Issue 5, p882-909, 28p

Subject Terms: REINFORCEMENT (Psychology), PROFESSIONAL licensure examinations, EDUCATIONAL tests & measurements, CONVOLUTIONAL neural networks, DESCRIPTIVE statistics, SIMULATION methods in education, REWARD (Psychology), DEEP learning, ACHIEVEMENT tests, CONCEPTUAL structures, MACHINE learning, AUTOMATION, TEST design, ALGORITHMS, CHIROPRACTIC, SENSITIVITY & specificity (Statistics)

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization.

Authors: Cantürk, Furkan Varol, Taha Aydoğan, Reyhan et al.

Source: Journal of Artificial Intelligence Research; 2024, Vol. 80, p327-376, 50p

Subject Terms: HEURISTIC algorithms, ARTIFICIAL neural networks, GRAPH theory, COMBINATORIAL optimization, MACHINE learning

Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows.

Authors: Baty, Léo Jungel, Kai Klein, Patrick S. et al.

Source: Transportation Science; Jul/Aug2024, Vol. 58 Issue 4, p708-725, 18p

Subject Terms: VEHICLE routing problem, THIRD-party logistics, COMBINATORIAL optimization, MACHINE learning, EXPRESS service (Delivery of goods)

Analysis of learning with errors problems with variational quantum algorithms.

Authors: Zeng, Jinfeng Zheng, Muxi Li, Hang et al.

Source: Europhysics Letters; Jun2025, Vol. 150 Issue 5, p1-7, 7p

Efficient optimization accelerator framework for multi-state spin Ising problems.

Authors: Garg, Chirag Salahuddin, Sayeef

Source: Nature Communications; 10/30/2025, Vol. 16 Issue 1, p1-9, 9p

Subject Terms: COMBINATORIAL optimization, GRAPH coloring, FIELD programmable gate arrays, MATHEMATICAL programming

Entropy computing, a paradigm for optimization in open photonic systems.

Authors: Nguyen, Lac Miri, Mohammad-Ali Rupert, R. Joseph et al.

Source: Communications Physics; 10/24/2025, Vol. 8 Issue 1, p1-9, 9p

Subject Terms: COMBINATORIAL optimization, PHOTONICS, QUANTUM computing, COMBINATORICS, MATHEMATICAL optimization, HAMILTONIAN mechanics, QUANTUM electronics, OPTICAL computing

Application of QUBO solver using black-box optimization to structural design for resonance avoidance.

Authors: Matsumori, Tadayoshi Taki, Masato Kadowaki, Tadashi

Source: Scientific Reports; 7/15/2022, Vol. 12 Issue 1, p1-12, 12p

Subject Terms: STRUCTURAL design, RESONANCE, PRINTED circuit design, MACHINE design, COMBINATORIAL optimization, MACHINE theory, STOCHASTIC resonance, MACHINE learning

Near-Optimal Auctions on Independence Systems.

Authors: Ammann, Sabrina C. L. Stiller, Sebastian

Source: Theory of Computing Systems; Oct2024, Vol. 68 Issue 5, p1160-1179, 20p

Subject Terms: APPROXIMATION algorithms, MACHINE learning, COMBINATORIAL optimization, NP-hard problems, KNAPSACK problems, MATROIDS

Solution approaches to the Three-Index Assignment Problem.

Authors: Mehbali, Mohamed

Source: RAIRO: Operations Research (2804-7303); 2025, Vol. 59 Issue 2, p1035-1065, 31p

Subject Terms: COMBINATORIAL optimization, POLYNOMIAL time algorithms, FACTORIES, HEURISTIC, MACHINERY

Quantum Computing for Transport Network Optimization.

Authors: Ju, Jiangwei Liu, Zhihang Bai, Yuelin et al.

Source: Entropy; Sep2025, Vol. 27 Issue 9, p953, 16p

Subject Terms: QUANTUM computing, COMBINATORIAL optimization, PUBLIC transit, BUS travel