Suchergebnisse - "Model inference"

Optimizing inference of segmentation on high-resolution images in MLExchange

Autoren: Lu, Shizhao Chavez, Tanny Koepp, Wiebke et al.

Quelle: The Journal of Supercomputing. 81(9)

Schlagwörter: 46 Information and Computing Sciences (for-2020), 4601 Applied Computing (for-2020), Machine Learning and Artificial Intelligence (rcdc), Data Science (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), Image segmentation, Model inference, Distributed computing, Multi-GPU, Machine learning, Tomography, Distributed computing, Image segmentation, Machine learning, Model inference, Multi-GPU, Tomography, 0803 Computer Software (for), 0805 Distributed Computing (for), Distributed Computing (science-metrix), 4606 Distributed computing and systems software (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/8j8876h9
https://escholarship.org/content/qt8j8876h9/qt8j8876h9.pdf

Evaluating the impact of the Modifiable Areal Unit Problem on ecological model inference: A case study of COVID-19 data in Queensland, Australia

Autoren: Shovanur Haque Aiden Price Kerrie Mengersen et al.

Quelle: Infect Dis Model
Infectious Disease Modelling, Vol 10, Iss 3, Pp 1002-1019 (2025)

Schlagwörter: Spatial patterns, Modifiable Areal Unit Problem (MAUP), COVID-19, Infectious and parasitic diseases, RC109-216, Socio-Economic Indexes for Areas (SEIFA), Model inference, Bayesian models, Article

Zugangs-URL: https://doaj.org/article/583205412a654a768a0c3a60067ea154

DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs

Autoren: Xiaozhe Yao Qinghao Hu Ana Klimovic

Quelle: Proceedings of the Twentieth European Conference on Computer Systems. :110-127

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Model Inference and Serving, Computer Science - Distributed, Parallel, and Cluster Computing, Quantization, Hardware Acceleration, Machine Learning Systems, Distributed, Parallel, and Cluster Computing (cs.DC), Model Compression, Sparsity, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2312.05215

T2TD: Text-3D Generation Model Based on Prior Knowledge Guidance

Autoren: Weizhi Nie Ruidong Chen Weijie Wang et al.

Weitere Verfasser: Weizhi Nie Ruidong Chen Weijie Wang et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:172-189

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Three-dimensional displays, Solid modeling, Shape, Data models, Knowledge graphs, Legged locomotion, Natural languages, 3D model generation, causal model inference, cross-modal representation, knowledge graph, natural language

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39292584
http://arxiv.org/abs/2305.15753
https://hdl.handle.net/11572/445414
https://doi.org/10.1109/TPAMI.2024.3463753
https://ieeexplore.ieee.org/document/10684147

ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks

Autoren: Shinde, Swapnil Sadashiv Naseh, David Tarchi, Daniele

Quelle: 2024 IEEE Globecom Workshops (GC Wkshps). :1-6

Schlagwörter: 6G mobile communication, Wireless networks, Conferences, Decentralized control, Open RAN, Machine learning, Network architecture, Communication networks, Virtualization, Next generation networking, Intelligent Control, Terrestrial Networks, Non-terrestrial Networks, Open Radio Access Network, Infrastructure, Machine Learning, Time Scale, Control Mechanisms, Distributed Control, Radio Access Network, Machine Learning Solutions, Intelligent Solutions, Environmental Changes, Time Step, Active Control, Machine Learning Models, Real-time Data, Wireless Networks, Real-time Performance, Virtual Network Functions, Generation Wireless Networks, Train Machine Learning Models, Network Slicing, Distributed Unit, Control Plane, Train Machine Learning, Central Unit, Processing Tasks, Model Inference,Non-terrestrial Networks, O-RAN, Machine Learning, Distributed Machine Learning, 6G

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2158/1433153
https://doi.org/10.1109/GCWkshp64532.2024.11101652

Remote sensing and field data show complementary functions when predicting forage productivity in heterogeneous native forests

Autoren: Fabio Daniel Trinco Verónica Elena Rusch Andrea Cardozo et al.

Quelle: Landscape Ecology. 40

Schlagwörter: Livestock, Multi model inference, Rangelands, Cattle, Biomass, Stocking rates

Zugangs-URL: https://research.rug.nl/en/publications/0d6a9c86-7928-4a6a-91c7-45e4724c5286
https://hdl.handle.net/11370/0d6a9c86-7928-4a6a-91c7-45e4724c5286
https://doi.org/10.1007/s10980-025-02109-w

All-Sky Autonomous Computing in UAV Swarm

Autoren: Hao Sun Yuben Qu Chao Dong et al.

Quelle: IEEE Transactions on Mobile Computing. 23:13258-13274

Schlagwörter: Autonomous aerial vehicles, Task scheduling, Collaborative inference, Task analysis, Data models, Computational modeling, Model inference performance prediction, Collaboration, Relays, Accuracy, UAV swarm

Workshop report: Learning approaches for hybrid dynamical systems

Autoren: Plambeck, Swantje Hranisavljevic, Nemanja Schmidt, Maximilian et al.

Schlagwörter: Model interoperability, Cyber-physical systems, Model learning, Hybrid dynamical systems, Model inference, Hybrid automata

Research on LLM Vector Dot Product Acceleration Based on RISC-V Matrix Instruction Set Extension

Autoren: CHEN Xuhao, HU Sipeng, LIU Hongchao, LIU Boran, TANG Dan, ZHAO Di

Quelle: Jisuanji kexue, Vol 52, Iss 5, Pp 83-90 (2025)

Schlagwörter: instruction set extension, vector dot product, software and hardware collaboration, large language model inference, Computer software, QA76.75-76.765, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1747019121818-1090201330.pdf; https://doaj.org/toc/1002-137X

Zugangs-URL: https://doaj.org/article/e94be37e4578493ab7c1ab4c2dcf7dd1

Evaluation of the Deep Q-Learning Models for Mobile Robot Path Planning Problem

Autoren: Mehmet Gök

Quelle: Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 12, Iss 3, Pp 620-627 (2024)
Volume: 12, Issue: 3620-627
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
Gazi University Journal of Science Part C: Design and Technology

Schlagwörter: Information Systems (Other), Science (General), Science, Deep Q-Learning, mobile robots, model inference, path planning, deep q-learning, Engineering (General). Civil engineering (General), Q1-390, Bilgi Sistemleri (Diğer), TA1-2040, Assistive Robots and Technology, Yardımcı Robotlar ve Teknoloji

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/ddd605e4c15c43a3854762dc63a01666
https://dergipark.org.tr/tr/pub/gujsc/issue/87480/1455778

Remote sensing and field data show complementary functions when predicting forage productivity in heterogeneous native forests

Autoren: Trinco, Fabio Daniel Rusch, Verónica Elena Cardozo, Andrea et al.

Schlagwörter: RANGELANDS, CATTLE, LIVESTOCK, STOCKING RATES, MULTI MODEL INFERENCE, BIOMASS

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/11336/274001

DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs

Autoren: Yao, Xiaozhe Hu, Qinghao Klimovic, Ana

Quelle: EuroSys '25: Proceedings of the Twentieth European Conference on Computer Systems

Schlagwörter: Machine Learning Systems, Model Compression, Quantization, Sparsity, Hardware Acceleration, Model Inference and Serving

Dateibeschreibung: application/application/pdf

Zugangs-URL: http://hdl.handle.net/20.500.11850/731441

A Bayesian multi-model inference methodology for imprecise moment-independent global sensitivity analysis of rock structures

Autoren: Akshay Kumar Gaurav Tiwari

Quelle: Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 3, Pp 840-859 (2024)

Schlagwörter: Statistical uncertainty, Bayesian inference, Global sensitivity analysis (GSA), 0211 other engineering and technologies, Multi-model inference, TA703-712, Borgonovo's indices, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, 02 engineering and technology, 01 natural sciences, Limited data, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/709d040c86bd4d36b674e93ed6beb994

Application of multi-method-multi-model inference to radiation related solid cancer excess risks models for astronaut risk assessment

Autoren: Hafner, Luana Walsh, Linda University of Zurich

Weitere Verfasser: Hafner, Luana Walsh, Linda University of Zurich

Quelle: Z Med Phys
Zeitschrift für Medizinische Physik, Vol 34, Iss 1, Pp 83-91 (2024)

Schlagwörter: Male, Original Paper, Neoplasms, Radiation-Induced, 530 Physics, Epidemiology, Incidence, R895-920, Uncertainty, 10192 Physics Institute, Risk Assessment, Solid Cancer Risks, Medical physics. Medical radiology. Nuclear medicine, Multi-Model Inference, 2741 Radiology, Nuclear Medicine and Imaging, Humans, Astronauts, Radiation Attributed Decrease of Survival, Astronaut Risk Assessment, Female, 3614 Radiological and Ultrasound Technology, 1304 Biophysics, Aged

Dateibeschreibung: 1_s2.0_S0939388923000806_main.pdf - application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37429805
https://doaj.org/article/64d6c74fe27b4096b513a91c723a59b9
https://www.zora.uzh.ch/id/eprint/269632/
https://doi.org/10.5167/uzh-269632

Enhancing Parameter Efficiency in Model Inference Using an Ultralight Inter-Transformer Linear Structure

Autoren: Haoxiang Shi Tetsuya Sakai

Quelle: IEEE Access, Vol 12, Pp 43734-43746 (2024)

Schlagwörter: Parameter efficiency, hypernetwork, green AI, 0202 electrical engineering, electronic engineering, information engineering, model inference, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, pretrained language model, TK1-9971

Zugangs-URL: https://doaj.org/article/2204231175cb4a8d982a5ffed312c364

Identification of hybrid systems with dynamics-based modeling through symbolic regression

Autoren: Plambeck, Swantje Schmidt, Maximilian Subias, Audine et al.

Weitere Verfasser: Plambeck, Swantje Schmidt, Maximilian Subias, Audine et al.

Quelle: ISSN: 0164-1212 ; Journal of Systems and Software ; https://hal.science/hal-05367362 ; Journal of Systems and Software, 2025, 231, pp.112639. ⟨10.1016/j.jss.2025.112639⟩.

Schlagwörter: Machine Learning, Model Inference, Decision Trees, Symbolic Regression, Hybrid Systems, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.AUTO]Engineering Sciences [physics]/Automatic

Verfügbarkeit: https://hal.science/hal-05367362
https://hal.science/hal-05367362v1/document
https://hal.science/hal-05367362v1/file/JSS_final_author_version.pdf
https://doi.org/10.1016/j.jss.2025.112639

Delta GUI change detection using inferred models

Autoren: Pastor Ricos, Fernando Marín Campusano, Beatriz Mariela Vos, Tanja Ernestina et al.

Weitere Verfasser: Pastor Ricos, Fernando Marín Campusano, Beatriz Mariela Vos, Tanja Ernestina et al.

Schlagwörter: Delta validation, GUI change detection, Scriptless testing, State Model inference, Systematic mapping, LENGUAJES Y SISTEMAS INFORMATICOS

Dateibeschreibung: application/pdf

Relation: Computer Standards & Interfaces; info:eu-repo/grantAgreement/COMISION DE LAS COMUNIDADES EUROPEA//101055874//EUROPEAN INNOVATION ALLIANCE FOR TESTING EDUCATION /; https://doi.org/10.1016/j.csi.2024.103925; https://riunet.upv.es/handle/10251/214912

Verfügbarkeit: https://riunet.upv.es/handle/10251/214912
https://doi.org/10.1016/j.csi.2024.103925

A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function

Autoren: Yangchao He Jiong Li Lei Shao et al.

Quelle: Aerospace ; Volume 12 ; Issue 1 ; Pages: 62

Schlagwörter: reentry glide vehicle, long-time trajectory prediction, adaptive cost function, attack intent inference, parameter model inference, Bayesian theory

Dateibeschreibung: application/pdf

Relation: https://dx.doi.org/10.3390/aerospace12010062

Verfügbarkeit: https://doi.org/10.3390/aerospace12010062

A comparison of growth of a vulnerable species, common carp, Cyprinus carpio (Actinopteri: Cyprinidae), from two different reservoir types in the same river basin

Autoren: Hakkı Dereli Bahar Bayhan

Quelle: Marine and Freshwater Research. 74:1224-1235

Schlagwörter: asymptotic length, Life-History, growth, Reproduction, Modeling Fish Growth, Multimodel Inference, multi-model inference, Weight-Length Relationships, 6. Clean water, Resources, Age, Cyprinus carpio, common carp, reservoir type, length-weight relationship, Selectivity, 14. Life underwater, length-frequency distribution, Patterns, Optimal Allocation

Zugangs-URL: https://hdl.handle.net/11454/92589
https://doi.org/10.1071/MF23061
https://hdl.handle.net/11454/100817
https://doi.org/10.1071/MF23061
https://aperta.ulakbim.gov.tr/record/266082

Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism

Autoren: Jing Li Weifa Liang Yuchen Li et al.

Quelle: IEEE Transactions on Mobile Computing. 22:3017-3030

Schlagwörter: Throughput maximization, Approximation and online algorithms, Inference parallelism, Delay-aware DNN inference, Algorithm design and analysis, 0202 electrical engineering, electronic engineering, information engineering, DNN partitioning, DNN model inference provisioning, 02 engineering and technology, Intelligent IoT devices, Mobile edge computing (MEC), Computing and bandwidth resource allocation and optimization

Zugangs-URL: https://www.computer.org/csdl/journal/tm/5555/01/09606540/1ymESWQooRa
https://ieeexplore.ieee.org/abstract/document/9606540/