Výsledky vyhledávání - "Computer Science - Machine Learning"

Counterfactual explanations for linear optimization

Autoři: Jannis Kurtz Ş. İlker Birbil Dick den Hertog

Zdroj: European Journal of Operational Research. 329:24-41

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2405.15431

Soft regression trees: A model variant and a decomposition training algorithm

Autoři: Antonio Consolo Edoardo Amaldi Andrea Manno

Zdroj: European Journal of Operational Research. 328:607-619

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Decomposition algorithms, Machine learning, Nonlinear programming, Regression trees, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2501.05942

Predicting space tourism demand using explainable AI

Autoři: Tan-Hanh Pham Jingchen Bi Rodrigo Mesa-Arango a další

Zdroj: Acta Astronautica. 238:1225-1237

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2503.03113

Optimizing treatment allocation in the presence of interference

Autoři: Daan Caljon Jente Van Belle Jeroen Berrevoets a další

Zdroj: European Journal of Operational Research. 328:620-632

Témata: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Computer Science - Social and Information Networks, Machine Learning (stat.ML), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2410.00075

Adaptive random Fourier features training stabilized by resampling with applications in image regression

Autoři: Kammonen, Aku Pandey, Anamika von Schwerin, Erik a další

Zdroj: Foundations of Data Science. 8:200-235

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2410.06399

Neural networks for threshold dynamics reconstruction

Autoři: Negrini, Elisa Gao, Almanzo Jiahe Bowering, Abigail a další

Zdroj: Inverse Problems and Imaging. 20:202-235

Témata: Computer Science - Machine Learning, Mathematics - Dynamical Systems, 68T07 (Primary), 65P99, 37M05 (Secondary)

Přístupová URL adresa: http://arxiv.org/abs/2412.09079

Text clustering with large language model embeddings

Autoři: Alina Petukhova João P. Matos-Carvalho Nuno Fachada a další

Přispěvatelé: Alina Petukhova João P. Matos-Carvalho Nuno Fachada a další

Zdroj: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 100-108 (2025)

Témata: I.7.m, FOS: Computer and information sciences, Computer Science - Machine Learning, Information Systems and Management, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.6, Science, I.2.7, QA75.5-76.95, Computer Science Applications, Text summarisation, Machine Learning (cs.LG), Text clustering, Artificial Intelligence (cs.AI), Electronic computers. Computer science, Large language models, 68T50 (Primary), 62H30 (Secondary), Engineering (miscellaneous), Computation and Language (cs.CL), Information Systems

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2403.15112
https://doaj.org/article/0d07ddd5e301430f8c147693d73f9264
https://hdl.handle.net/10362/183810

A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network

Autoři: Kwanghyuk Park Xinjuan Chen Dongjin Lee a další

Zdroj: Applied Numerical Mathematics. 218:1-21

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2407.06333

Application of machine learning and convex limiting to subgrid flux modeling in the shallow-water equations

Autoři: Ilya Timofeyev Alexey Schwarzmann Dmitri Kuzmin

Zdroj: Mathematics and Computers in Simulation. 238:163-178

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Physics - Atmospheric and Oceanic Physics, Statistics - Machine Learning, 65M99, Atmospheric and Oceanic Physics (physics.ao-ph), Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Machine Learning (stat.ML), Physics - Fluid Dynamics, Computational Physics (physics.comp-ph), Physics - Computational Physics, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2407.17214

Scalarisation-based risk concepts for robust multi-objective optimisation

Autoři: Ben Tu Nikolas Kantas Robert M. Lee a další

Zdroj: European Journal of Operational Research. 327:559-576

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Machine Learning (stat.ML), Mathematics - Optimization and Control, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2405.10221

Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set

Autoři: Gordon Dai Pavan Ravishankar Rachel Yuan a další

Zdroj: Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization. :42-73

Témata: FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Machine Learning, Computers and Society (cs.CY), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2501.15634

Challenging the Validity of Personality Tests for Large Language Models

Autoři: Tom Sühr Florian E. Dorner Samira Samadi a další

Zdroj: Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization. :74-81

Témata: I.2, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), J.4, H.1, I.6, Computer Science - Artificial Intelligence, Computation and Language (cs.CL), 91E45, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2311.05297

Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion

Autoři: Maximilian Egger Christoph Hofmeister Antonia Wachter-Zeh a další

Zdroj: IEEE Transactions on Information Theory. 71:8977-8992

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer Science - Distributed, Parallel, and Cluster Computing, Statistics - Machine Learning, Machine Learning (stat.ML), Distributed, Parallel, and Cluster Computing (cs.DC), Cryptography and Security (cs.CR), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2306.14088

Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting

Autoři: Farzan Kaviani Ivan Markovsky Hamid R. Ossareh

Zdroj: IEEE Transactions on Automatic Control. 70:7588-7595

Témata: FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Noise measurement, uncertainty quantification, Trajectory, truncated singular value decomposition (TSVD) denoising, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), Predictive models, Matrix decomposition, Automation & Control Systems, Engineering, 0102 Applied Mathematics, output prediction error bounds, FOS: Electrical engineering, electronic engineering, information engineering, Noise reduction, Accuracy, Science & Technology, Data-driven control, PERTURBATION, 4007 Control engineering, mechatronics and robotics, Uncertainty, Engineering, Electrical & Electronic, Vectors, 0906 Electrical and Electronic Engineering, Industrial Engineering & Automation, Noise, Upper bound, 0913 Mechanical Engineering

Přístupová URL adresa: http://arxiv.org/abs/2404.15098
https://lirias.kuleuven.be/handle/20.500.12942/767081
https://doi.org/10.1109/tac.2025.3573151

Universal Rate-Distortion-Perception Representations for Lossy Compression

Autoři: George Zhang Jingjing Qian Jun Chen a další

Zdroj: IEEE Transactions on Information Theory. 71:8633-8653

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2106.10311

An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning

Autoři: Panagiotis Kakosimos Alireza Nemat Saberi Luca Peretti

Zdroj: IEEE Transactions on Power Electronics. 40:16048-16054

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.16866

Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering

Autoři: Xu Zhang Yuheng Jia Mofei Song a další

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 37:6694-6707

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2411.00904

SpeGCL: Self-Supervised Graph Spectrum Contrastive Learning Without Positive Samples

Autoři: Yuntao Shou Xiangyong Cao Deyu Meng

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:19546-19559

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Přístupová URL adresa: http://arxiv.org/abs/2410.10365

One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks

Autoři: Feng-Lei Fan Hang-Cheng Dong Zhongming Wu a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:9702-9717

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2303.06316

EclipseNETs: Learning irregular small celestial body silhouettes

Autoři: Giacomo Acciarini Dario Izzo Francesco Biscani

Zdroj: Acta Astronautica. 236:514-521

Témata: Earth and Planetary Astrophysics (astro-ph.EP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Physical sciences, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Earth and Planetary Astrophysics, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.04455