Suchergebnisse - "Machine Learning (cs.LG)"

Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning

Autoren: Guilhem Fauré Mostafa Sadeghi Sam Bigeard et al.

Weitere Verfasser: Guilhem Fauré Mostafa Sadeghi Sam Bigeard et al.

Quelle: Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents. :1-9

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Deep Learning, Contrastive Learning, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Sign Language Production, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Computation and Language, Pose Encoding, Computation and Language (cs.CL), Machine Learning (cs.LG)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2508.14574

Breiman meets Bellman: Non-Greedy Decision Trees with MDPs

Autoren: Hector Kohler Riad Akrour Philippe Preux et al.

Weitere Verfasser: Hector Kohler Riad Akrour Philippe Preux et al.

Quelle: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1207-1218

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, decision tree, Tabular data, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Markov decision process, Machine Learning (cs.LG)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2309.12701
https://hal.science/hal-05097382v1
https://hal.science/hal-05097382v1/document
https://doi.org/10.1145/3711896.3736868

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion

Autoren: Lence, Alex Granese, Federica Fall, Ahmad et al.

Weitere Verfasser: Lence, Alex Granese, Federica Fall, Ahmad et al.

Quelle: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. :2359-2370

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2406.16901
https://univ-evry.hal.science/hal-05195520v1
https://doi.org/10.1145/3690624.3709405

Joint model for longitudinal and spatio-temporal survival data

Autoren: Victor Medina-Olivares Finn Lindgren Raffaella Calabrese et al.

Quelle: European Journal of Operational Research. 327:892-904

Schlagwörter: Machine Learning, Computational Engineering, Finance, and Science (cs.CE), FOS: Economics and business, FOS: Computer and information sciences, Risk Management, Computational Engineering, Finance, and Science, Risk Management (q-fin.RM), 1. No poverty, Machine Learning (stat.ML), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2311.04008

Text clustering with large language model embeddings

Autoren: Alina Petukhova João P. Matos-Carvalho Nuno Fachada

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

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

Zugangs-URL: http://arxiv.org/abs/2403.15112
https://doaj.org/article/0d07ddd5e301430f8c147693d73f9264

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

Autoren: Kwanghyuk Park Xinjuan Chen Dongjin Lee et al.

Quelle: Applied Numerical Mathematics. 218:1-21

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2407.06333

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

Autoren: Ilya Timofeyev Alexey Schwarzmann Dmitri Kuzmin

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

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2407.17214

Technology prediction of a 3D model using neural network

Autoren: Miebs, Grzegorz Bachorz, Rafał A.

Quelle: Manufacturing Letters. 46:5-9

Schlagwörter: Machine Learning, FOS: Computer and information sciences, I.2.10, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2505.04241

Scalarisation-based risk concepts for robust multi-objective optimisation

Autoren: Ben Tu Nikolas Kantas Robert M. Lee et al.

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

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2405.10221

Breathing and Semantic Pause Detection and Exertion-Level Classification in Post-Exercise Speech

Autoren: Yuyu Wang Wuyue Xia Huaxiu Yao et al.

Quelle: Proceedings of the 3rd ACM International Workshop on Intelligent Acoustic Systems and Applications. :13-18

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2509.15473

Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring

Autoren: Matteo Ballegeer Matthias Bogaert Dries F. Benoit

Quelle: European Journal of Operational Research. 326:630-640

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2509.01409

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

Autoren: Panagiotis Kakosimos Alireza Nemat Saberi Luca Peretti

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

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

Zugangs-URL: http://arxiv.org/abs/2504.16866

Indiscriminate disruption of conditional inference on multivariate Gaussians

Autoren: William N. Caballero Matthew LaRosa Alexander A. Fisher et al.

Quelle: European Journal of Operational Research. 327:191-202

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Statistics - Machine Learning, Machine Learning (stat.ML), Applications (stat.AP), Statistics - Applications, Cryptography and Security (cs.CR), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2411.14351

EclipseNETs: Learning irregular small celestial body silhouettes

Autoren: Giacomo Acciarini Dario Izzo Francesco Biscani

Quelle: Acta Astronautica. 236:514-521

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2504.04455

Benchmarking federated learning for semantic datasets: Federated scene graph generation

Autoren: SeungBum Ha Taehwan Lee Jiyoun Lim et al.

Quelle: Pattern Recognition Letters. 197:195-201

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2412.10436

A deep learning method for optimal investment under relative performance criteria among heterogeneous agents

Autoren: Laurière, Mathieu Tangpi, Ludovic Zhou, Xuchen

Quelle: European Journal of Operational Research. 326:615-629

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

Zugangs-URL: http://arxiv.org/abs/2402.07365

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling

Autoren: Alexander Davydov Franck Djeumou Marcus Greiff et al.

Quelle: IEEE Robotics and Automation Letters. 10:11379-11386

Schlagwörter: Machine Learning, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Robotics, Systems and Control (eess.SY), Robotics (cs.RO), Systems and Control, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2411.00107

Deep active learning: A reality check

Autoren: Gashi, Edrina Deng, Jiankang Elezi, Ismail

Quelle: Pattern Recognition Letters. 197:188-194

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2403.14800

Switchable Deep Beamformer for High-quality and Real-time Passive Acoustic Mapping

Autoren: Yi Zeng Jinwei Li Hui Zhu et al.

Quelle: Ultrasound in Medicine & Biology. 51:1901-1914

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2412.02327

Orthogonal nonnegative matrix factorization with the Kullback–Leibler divergence

Autoren: Jean Pacifique Nkurunziza Fulgence Nahayo Nicolas Gillis

Quelle: Pattern Recognition Letters. 197:353-358

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), Electrical Engineering and Systems Science - Signal Processing, Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2410.07786