Suchergebnisse - "Inference algorithms"

Comparison of Coherence Scores of LDA Inference Algorithms

Autoren: Yaşar Tekin

Quelle: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4

Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms

Autoren: Corro, Caio Lacroix, Mathieu Roux, Joseph Le

Quelle: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :29557-29574

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

Zugangs-URL: http://arxiv.org/abs/2506.00732

Benchmarking of biological regulatory network inference algorithms of microbiome- metabolome interaction

Autoren: Müller, Mattea Zacharias, Helena Altenbuchinger, Michael

Research on Model Compression and Efficient Inference Algorithms for Deep Neural Networks

Autoren: Shuangshuang Yang Qiuxue Ouyang Chaojie Wang et al.

Quelle: 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). :1338-1342

Investigating Gene Regulatory Networks: A review of inference algorithms

Autoren: Yao Sun Jing Gao Dongshi Zuo

Quelle: Proceedings of the 2025 5th International Conference on Bioinformatics and Intelligent Computing. :194-200

Evaluation of network inference algorithms for derivation of metabolic relationships from lipidomic and metabolomic datasets

Autoren: Finn Archinuk Haley Greenyer Ulrike Stege et al.

Different orthology inference algorithms generate similar predicted orthogroups among Brassicaceae species

Autoren: Liao, Irene T Sears, Karen E Hileman, Lena C et al.

Schlagwörter: Agricultural, Veterinary and Food Sciences, Crop and Pasture Production, Human Genome, Genetics, Brassicaceae, comparative genomics, orthogroup, orthology inference, phylogenomics, YABBY gene family, Crop and pasture production

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/5h26c6hm
https://escholarship.org/content/qt5h26c6hm/qt5h26c6hm.pdf

Cross-validation for training and testing co-occurrence network inference algorithms

Autoren: Daniel Agyapong Jeffrey Ryan Propster Jane Marks et al.

Quelle: BMC Bioinformatics
BMC Bioinformatics, Vol 26, Iss 1, Pp 1-24 (2025)

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Bacteria, QH301-705.5, Research, Microbiota, Computer applications to medicine. Medical informatics, R858-859.7, Network Validation, Computational Biology, LASSO, Microbiome Analysis, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), FOS: Biological sciences, Machine learning, Cross-Validation, Biology (General), Co-occurrence network inference, Algorithms, Quantitative Methods (q-bio.QM)

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40045231
http://arxiv.org/abs/2309.15225
https://doaj.org/article/d8504249d11249a3990e5350d7b920b0

The Application of Causal Inference Algorithms in Federated Recommender Systems

Autoren: Yuanming Ding Yongquan Sun Jianxin Feng

Quelle: IEEE Access, Vol 12, Pp 29748-29758 (2024)

Schlagwörter: 0504 sociology, recommendation systems, privacy protection, 05 social sciences, Federated learning, Electrical engineering. Electronics. Nuclear engineering, causal inference, TK1-9971, 0506 political science

Zugangs-URL: https://doaj.org/article/f4cb8e95dfce48ed8040713801608bed

Fuzzy logic inference algorithms utilization in the economic potential growth management system of the real estate development company

Autoren: A. Rosynskyi

Quelle: Ways to Improve Construction Efficiency. 2:180-202

Online Pseudo-average Shifting Attention(PASA) for Robust Low-precision LLM Inference: Algorithms and Numerical Analysis

Autoren: Cheng, Long Liao, Qichen Wu, Fan et al.

Schlagwörter: Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Performance, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2503.01873

Accuracy Study of Fast Identity-by-Descent Segment Inference Algorithms for Large-Scale Populations

Autoren: Cai-Xia Li Chun Wang Jingwei Lu et al.

Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications

Autoren: Chughtai, Aamir Hussain

Schlagwörter: Machine Learning, Signal Processing (eess.SP), FOS: Computer and information sciences, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2506.11530

Fuzzy logic inference algorithms utilization in the economic potential growth management system of the real estate development company

Quelle: Шляхи підвищення ефективності будівництва в умовах формування ринкових відносин; Том 2 № 50 (2022): Шляхи підвищення ефективності будівництва в умовах формування ринкових відносин; 180-202
Ways to Improve Construction Efficiency; Vol. 2 No. 50 (2022): Ways to Improve Construction Efficiency ; 180-202

Schlagwörter: factors affecting real estate prices, economic potential, девелоперська компанія, primary residential real estate, нечітка логіка, development company, fuzzy logic inference algorithms, алгоритми нечіткого логічного висновку, економічний потенціал, управління розвитком економічного потенціалу, real estate development, девелопмент нерухомості, economic potential growth management, фактори впливу на ціну нерухомості, первинна житлова нерухомість, fuzzy logic

Dateibeschreibung: application/pdf

Zugangs-URL: http://ways.knuba.edu.ua/article/view/288692

SPLANG—a synthetic poisson-lognormal-based abundance and network generative model for microbial interaction inference algorithms

Autoren: Weicheng Qian Kevin G. Stanley Zohaib Aziz et al.

Quelle: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

Schlagwörter: Bacteria, Science, Microbiota, Medicine, Microbial Interactions, Poisson Distribution, Article, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39443578
https://doaj.org/article/3cca55e3e43941ac9dd16291e873ec8f

Are the tools fit for purpose? Network inference algorithms evaluated on a simulated lipidomics network.

Autoren: Archinuk F Greenyer H Stege U et al.

Quelle: Bioinformatics advances [Bioinform Adv] 2025 Nov 09; Vol. 5 (1), pp. vbaf286. Date of Electronic Publication: 2025 Nov 09 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE

Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game

Autoren: Sofia Strukova José A. Ruipérez-Valiente Félix Gómez Mármol

Quelle: ACM Transactions on Knowledge Discovery from Data. 18:1-23

Schlagwörter: 4. Education, 05 social sciences, 0501 psychology and cognitive sciences, 0503 education

Statistical Comparison of the Running Times of Global Posteriori Inference Algorithms in Algebraic Bayesian Networks

Autoren: Artyom A. Vyatkin Alexander L. Tulupyev

Quelle: 2023 XXVI International Conference on Soft Computing and Measurements (SCM). :24-28

Inference algorithms for the useful life of safety instrumented systems under small failure sample data

Autoren: Mao, Qi (author) Wang, Haiqing (author) Yang, M. (author) et al.

Quelle: Process Safety and Environmental Protection. 170:783-790

Schlagwörter: Failure rate, 0211 other engineering and technologies, Useful life, 02 engineering and technology, Small samples, Reliability, Safety instrumented systems

Zugangs-URL: http://resolver.tudelft.nl/uuid:25961f04-7ce7-49e5-a9fa-66af10ad8f26

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment

Autoren: Wang, Fei Liu, Haoyu Bi, Haoyang et al.

Index Begriffe: Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2403.08826