Gotowa bibliografia na temat „Functional Pruning”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Functional Pruning”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Functional Pruning"
SHAMIR, N., D. SAAD, and E. MAROM. "NEURAL NET PRUNING BASED ON FUNCTIONAL BEHAVIOR OF NEURONS." International Journal of Neural Systems 04, no. 02 (1993): 143–58. http://dx.doi.org/10.1142/s0129065793000134.
Pełny tekst źródłaElston, G. N., T. Oga, and I. Fujita. "Spinogenesis and Pruning Scales across Functional Hierarchies." Journal of Neuroscience 29, no. 10 (2009): 3271–75. http://dx.doi.org/10.1523/jneurosci.5216-08.2009.
Pełny tekst źródłaIwasaki, Hideya, Takeshi Morimoto, and Yasunao Takano. "Pruning with improving sequences in lazy functional programs." Higher-Order and Symbolic Computation 24, no. 4 (2011): 281–309. http://dx.doi.org/10.1007/s10990-012-9086-3.
Pełny tekst źródłaLugaresi, Adriana, Cristiano André Steffens, Angélica Schmitz Heinzen, et al. "The influence of the summer pruning on ‘Fuji’ apples storage under controlled atmosphere." Acta Scientiarum. Agronomy 46, no. 1 (2023): e63557. http://dx.doi.org/10.4025/actasciagron.v46i1.63557.
Pełny tekst źródłaLi, J., J. Liu, H. Toivonen, and J. Yong. "Effective Pruning for the Discovery of Conditional Functional Dependencies." Computer Journal 56, no. 3 (2012): 378–92. http://dx.doi.org/10.1093/comjnl/bxs082.
Pełny tekst źródłaZhang, Qi, Ying Zhang, Pengyao Miao, et al. "Effects of Pruning on Tea Tree Growth, Soil Enzyme Activity and Microbial Diversity." Agronomy 13, no. 5 (2023): 1214. http://dx.doi.org/10.3390/agronomy13051214.
Pełny tekst źródłaLow, Lawrence K., and Hwai-Jong Cheng. "Axon pruning: an essential step underlying the developmental plasticity of neuronal connections." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1473 (2006): 1531–44. http://dx.doi.org/10.1098/rstb.2006.1883.
Pełny tekst źródłaLeporini, Mariarosaria, Rosa Tundis, Vincenzo Sicari, and Monica Rosa Loizzo. "Citrus species: Modern functional food and nutraceutical-based product ingredient." Italian Journal of Food Science 33, no. 2 (2021): 63–107. http://dx.doi.org/10.15586/ijfs.v33i2.2009.
Pełny tekst źródłaMäkelä, Annikki. "A Carbon Balance Model of Growth and Self-Pruning in Trees Based on Structural Relationships." Forest Science 43, no. 1 (1997): 7–24. http://dx.doi.org/10.1093/forestscience/43.1.7.
Pełny tekst źródłaSun, Xiaochuan, Yu Wang, Mingxiang Hao, Yingqi Li, and Tianyu Huang. "Reservoir structure optimization of echo state networks: A detrended multiple cross-correlation pruning perspective." Journal of Intelligent & Fuzzy Systems 46, no. 5-6 (2024): 11263–75. http://dx.doi.org/10.3233/jifs-233605.
Pełny tekst źródłaRozprawy doktorskie na temat "Functional Pruning"
Shabarshova, Liudmila. "Geometric functional pruning for change point detection in low-dimensional exponential family models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM026.
Pełny tekst źródłaPrewitt, Sarah F. "Phylogenetic and Functional Characterization of Cotton (Gossypium hirsutum) CENTRORADIALIS/TERMINAL FLOWER1/SELF-PRUNING Genes." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062895/.
Pełny tekst źródłaPalm, Emanuel. "Implications and Impact of Blockchain Transaction Pruning." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64986.
Pełny tekst źródłaKučírek, Tomáš. "Umělá inteligence pro hraní her." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-412861.
Pełny tekst źródłaKubisz, Jan. "Využití umělé inteligence k monitorování stavu obráběcího stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417752.
Pełny tekst źródłaCzęści książek na temat "Functional Pruning"
Qiu, Shoumeng, Yuzhang Gu, and Xiaolin Zhang. "BFRIFP: Brain Functional Reorganization Inspired Filter Pruning." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7_2.
Pełny tekst źródłaQiu, Shoumeng, Yuzhang Gu, and Xiaolin Zhang. "Correction to: BFRIFP: Brain Functional Reorganization Inspired Filter Pruning." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7_57.
Pełny tekst źródłaZouggar, Souad Taleb, and Abdelkader Adla. "A New Function for Ensemble Pruning." In Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90315-6_15.
Pełny tekst źródłaSha, Chaofeng, Keqiang Wang, Xiaoling Wang, and Aoying Zhou. "Ensemble Pruning: A Submodular Function Maximization Perspective." In Database Systems for Advanced Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05813-9_1.
Pełny tekst źródłaShi, Daming, Junbin Gao, Daniel So Yeung, and Fei Chen. "Radial Basis Function Network Pruning by Sensitivity Analysis." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24840-8_27.
Pełny tekst źródłaSutton-Charani, Nicolas, Sébastien Destercke, and Thierry Denœux. "Training and Evaluating Classifiers from Evidential Data: Application to E2M Decision Tree Pruning." In Belief Functions: Theory and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11191-9_10.
Pełny tekst źródłaBorera, Eddy C., Larry D. Pyeatt, Arisoa S. Randrianasolo, and Madhi Naser-Moghadasi. "POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16761-4_23.
Pełny tekst źródłaHoque, Md Tamjidul, Madhu Chetty, and Laurence S. Dooley. "Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model." In Biological and Medical Data Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573067_35.
Pełny tekst źródłaParkinson, Randall W., Monica Perez-Bedmar, and Jenna A. Santangelo. "Red mangrove (Rhizophora mangle L.) litter fall response to selective pruning (Indian River Lagoon, Florida, U.S.A.)." In Diversity and Function in Mangrove Ecosystems. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4078-2_7.
Pełny tekst źródłaLi, Jing, Bao-Liang Lu, and Michinori Ichikawa. "An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539087_35.
Pełny tekst źródłaStreszczenia konferencji na temat "Functional Pruning"
Yang, Dun-An, Jing-Jia Liou, and Harry H. Chen. "Transient Fault Pruning for Effective Candidate Reduction in Functional Debugging." In 2022 IEEE International Test Conference (ITC). IEEE, 2022. http://dx.doi.org/10.1109/itc50671.2022.00014.
Pełny tekst źródłaLi, Qingwei, Wenyong Zhang, Zhiwen Shen, and He Qifeng. "Photovoltaic power output forecasting based on similar day analysis and sensitive pruning extreme learning machine." In 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), edited by Chao Zuo. SPIE, 2022. http://dx.doi.org/10.1117/12.2638674.
Pełny tekst źródłaCheng, Feng, and Zhe Yang. "New Pruning Methods for Mining Minimal Functional Dependencies from Large-Scale Distributed Data." In 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2018. http://dx.doi.org/10.1109/cbd.2018.00055.
Pełny tekst źródłaMandros, Panagiotis, Mario Boley, and Jilles Vreeken. "Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/864.
Pełny tekst źródłaGhosh, Gourhari, Ajay Sidpara, and P. P. Bandyopadhyay. "Characterization of Nanofinished WC-Co Coating Using Advanced 3D Surface Texture Parameters." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6592.
Pełny tekst źródłaLiu, Yuchen, S. Y. Kung, and David Wentzlaff. "Evolving transferable neural pruning functions." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3512290.3528694.
Pełny tekst źródłaRodriguez Lizana, Antonio, Maria Joao Pereira, Alzira Ramos, Manuel Moreno Garcia, and Manuel Ribeiro. "STUDY OF THE UNCERTAINTY OF THE AMOUNT OF PRUNING IN THE OLIVE GROVE USING GEOSTATISTICAL ALGORITHMS." In 22nd International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022v/3.2/s14.50.
Pełny tekst źródłaOliveira, Saulo A. F., Ajalmar R. Rocha Neto, and João P. P. Gomes. "On Model Complexity Reduction in Instance-Based Learners." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sibgrapi.est.2022.23253.
Pełny tekst źródłaFlávia de A. Campos, Lívia, Liara M. de Mattos, Aline D. P. dos Santos, and Luis C. Paschoarelli. "An Approach to Evaluation of Aesthetic Function on Usability: An Exploratory Study About Descriptors of Aesthetic in Pruning Shears." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001315.
Pełny tekst źródłaSetiono, R., and A. Gaweda. "Neural network pruning for function approximation." In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, 2000. http://dx.doi.org/10.1109/ijcnn.2000.859435.
Pełny tekst źródła