Artículos de revistas sobre el tema "Training set analysi"
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Jumaniyazov, Anvarbek B. "PEDAGOGICAL ANALYSIS OF TRAINING IN PHYSICAL EDUCATION AND SPORTS MANAGEMENT". CURRENT RESEARCH JOURNAL OF PEDAGOGICS 03, n.º 05 (1 de mayo de 2022): 1–10. http://dx.doi.org/10.37547/pedagogics-crjp-03-05-01.
Texto completoKara, Gökhan, Ozan Hikmet Arıcan y Olgay Okşaş. "Analysis of the Effect of Electronic Chart Display and Information System Simulation Technologies in Maritime Education". Marine Technology Society Journal 54, n.º 3 (1 de mayo de 2020): 43–57. http://dx.doi.org/10.4031/mtsj.54.3.6.
Texto completoWang, Jianzhong. "Mathematical analysis on out-of-sample extensions". International Journal of Wavelets, Multiresolution and Information Processing 16, n.º 05 (septiembre de 2018): 1850042. http://dx.doi.org/10.1142/s021969131850042x.
Texto completoPattnaik, Saumendra y Binod Kumar Pattanayak. "Empirical analysis of software quality prediction using a TRAINBFG algorithm". International Journal of Engineering & Technology 7, n.º 2.6 (11 de marzo de 2018): 259. http://dx.doi.org/10.14419/ijet.v7i2.6.10780.
Texto completoKING, FOO SHOU, P. SARATCHANDRAN y N. SUNDARARAJAN. "ANALYSIS OF TRAINING SET PARALLELISM FOR BACKPROPAGATION NEURAL NETWORKS". International Journal of Neural Systems 06, n.º 01 (marzo de 1995): 61–78. http://dx.doi.org/10.1142/s0129065795000068.
Texto completoAliyuda, Kachalla y John Howell. "Machine-learning algorithm for estimating oil-recovery factor using a combination of engineering and stratigraphic dependent parameters". Interpretation 7, n.º 3 (1 de agosto de 2019): SE151—SE159. http://dx.doi.org/10.1190/int-2018-0211.1.
Texto completoCohen, Albert, Wolfgang Dahmen, Ronald DeVore y James Nichols. "Reduced Basis Greedy Selection Using Random Training Sets". ESAIM: Mathematical Modelling and Numerical Analysis 54, n.º 5 (16 de julio de 2020): 1509–24. http://dx.doi.org/10.1051/m2an/2020004.
Texto completoEmbros, Grzegorz. "Audyt zachowań jako narzędzie systemu zarządzania bezpieczeństwem i higieną pracy". Studia Ecologiae et Bioethicae 7, n.º 1 (30 de junio de 2009): 165–79. http://dx.doi.org/10.21697/seb.2009.7.1.11.
Texto completoNúñez, Sergio, Daniel Borrajo y Carlos Linares López. "Performance Analysis of Planning Portfolios". Proceedings of the International Symposium on Combinatorial Search 3, n.º 1 (20 de agosto de 2021): 65–71. http://dx.doi.org/10.1609/socs.v3i1.18238.
Texto completoKozma, Gábor Viktor. "Actor Training as a Method of Directors. Training in Context of the Odin Teatret’s Creative Work and Higher Education". Studia Universitatis Babeş-Bolyai Dramatica 67, n.º 2 (13 de diciembre de 2022): 29–45. http://dx.doi.org/10.24193/subbdrama.2022.2.02.
Texto completoLeischow, Scott J., J. Taylor Hays, Thomas J. Glynn, Katherine E. Kemper, Janet Okamoto y Richard D. Hurt. "Global Bridges: Development and Analysis of a Tobacco Treatment Network". Journal of Smoking Cessation 11, n.º 2 (23 de marzo de 2016): 90–98. http://dx.doi.org/10.1017/jsc.2016.1.
Texto completoPei, Yuanzhao y Linlin Ye. "Cluster analysis of MNIST data set". Journal of Physics: Conference Series 2181, n.º 1 (1 de enero de 2022): 012035. http://dx.doi.org/10.1088/1742-6596/2181/1/012035.
Texto completoKapsung Kim, 주현준 y Yong Kim. "An Analysis of the effectiveness of Training Programs for Labor-management Relationship". SECONDARY EDUCATION RESEARCH 61, n.º 2 (junio de 2013): 389–412. http://dx.doi.org/10.25152/ser.2013.61.2.389.
Texto completoPark, Eun-Young y Okin Lee. "Meta-Analysis of Safety Skill Training Program for Individuals with Developmental Disabilities". Special Education Research 19, n.º 1 (29 de febrero de 2020): 115–37. http://dx.doi.org/10.18541/ser.2020.02.19.1.115.
Texto completoBettiza, Martaleli. "An Analysis on Wind Speed Forecasting Result with the Elman Recurrent Neural Network Method". E3S Web of Conferences 324 (2021): 05002. http://dx.doi.org/10.1051/e3sconf/202132405002.
Texto completoBassett, Neil, David Rapetti, Keith Tauscher, Jack O. Burns y Joshua J. Hibbard. "Ensuring Robustness in Training-set-based Global 21 cm Cosmology Analysis". Astrophysical Journal 908, n.º 2 (24 de febrero de 2021): 189. http://dx.doi.org/10.3847/1538-4357/abdb29.
Texto completoWOLFE, BRIAN L., LINDA M. LEMURA y PHILLIP J. COLE. "QUANTITATIVE ANALYSIS OF SINGLE- VS. MULTIPLE-SET PROGRAMS IN RESISTANCE TRAINING". Journal of Strength and Conditioning Research 18, n.º 1 (febrero de 2004): 35–47. http://dx.doi.org/10.1519/00124278-200402000-00005.
Texto completoWolfe, Brian L., Linda M. LeMura y Phillip J. Cole. "Quantitative Analysis of Single- vs. Multiple-Set Programs in Resistance Training". Journal of Strength and Conditioning Research 18, n.º 1 (2004): 35. http://dx.doi.org/10.1519/1533-4287(2004)018<0035:qaosvm>2.0.co;2.
Texto completoNovák, Drahomír y David Lehký. "ANN inverse analysis based on stochastic small-sample training set simulation". Engineering Applications of Artificial Intelligence 19, n.º 7 (octubre de 2006): 731–40. http://dx.doi.org/10.1016/j.engappai.2006.05.003.
Texto completoPetti, Samantha y Sean R. Eddy. "Constructing benchmark test sets for biological sequence analysis using independent set algorithms". PLOS Computational Biology 18, n.º 3 (7 de marzo de 2022): e1009492. http://dx.doi.org/10.1371/journal.pcbi.1009492.
Texto completoStawicki, Piotr y Ivan Volosyak. "cVEP Training Data Validation—Towards Optimal Training Set Composition from Multi-Day Data". Brain Sciences 12, n.º 2 (8 de febrero de 2022): 234. http://dx.doi.org/10.3390/brainsci12020234.
Texto completoKIM, Won-Ouk. "Analysis of Emergency Evacuation for Training ship HANNARA using SEA-Pro & FDS". JOURNAL OF FISHRIES AND MARINE SCIENCES EDUCATION 33, n.º 4 (31 de agosto de 2021): 875–83. http://dx.doi.org/10.13000/jfmse.2021.8.33.4.875.
Texto completoRaškinis, A. J. "Boolean Discriminant Functions in Symbolic Learning with Subclasses". Nonlinear Analysis: Modelling and Control 6, n.º 2 (5 de diciembre de 2001): 71–86. http://dx.doi.org/10.15388/na.2001.6.1.15216.
Texto completoWEI, QUANLING y HONG YAN. "A DATA ENVELOPMENT ANALYSIS (DEA) EVALUATION METHOD BASED ON SAMPLE DECISION MAKING UNITS". International Journal of Information Technology & Decision Making 09, n.º 04 (julio de 2010): 601–24. http://dx.doi.org/10.1142/s021962201000397x.
Texto completoGomera, William y George Oreku. "Mobile Technology in Training Micro Businesses". International Journal of ICT Research in Africa and the Middle East 5, n.º 2 (julio de 2016): 14–24. http://dx.doi.org/10.4018/ijictrame.2016070102.
Texto completoPistoia, Jenny, Nadia Pinardi, Paolo Oddo, Matthew Collins, Gerasimos Korres y Yann Drillet. "Development of super-ensemble techniques for ocean analyses: the Mediterranean Sea case". Natural Hazards and Earth System Sciences 16, n.º 8 (9 de agosto de 2016): 1807–19. http://dx.doi.org/10.5194/nhess-16-1807-2016.
Texto completoYang, Xue, Han-Qi Yu, Shi-Ming Sun y Wei Chen. "Using correspondence analysis to select training set for multi-modal information data". Cluster Computing 21, n.º 1 (1 de junio de 2017): 893–905. http://dx.doi.org/10.1007/s10586-017-0945-x.
Texto completoZuo, Wan Li, Zhi Yan Wang, Ning Ma y Hong Liang. "Study on Consistency Analysis in Text Categorization". Applied Mechanics and Materials 539 (julio de 2014): 181–84. http://dx.doi.org/10.4028/www.scientific.net/amm.539.181.
Texto completoOderov, Artur, Maksym Kuznetsov, Serhii Romanchuk, Dmytro Pohrebniak, Svitlana Indyka y Natalia Bielikova. "Analysis of the level of physical fitness of cadets of the Military College of Sergeants of the National Academy of Land Forces in Lviv at the primary stage". Sport i Turystyka. Środkowoeuropejskie Czasopismo Naukowe 5, n.º 1 (2022): 93–102. http://dx.doi.org/10.16926/sit.2022.01.05.
Texto completoPostalcıoğlu, Seda. "Performance Analysis of Different Optimizers for Deep Learning-Based Image Recognition". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 02 (14 de junio de 2019): 2051003. http://dx.doi.org/10.1142/s0218001420510039.
Texto completoMyburgh, Gerhard y Adriaan van Niekerk. "Impact of Training Set Size on Object-Based Land Cover Classification". International Journal of Applied Geospatial Research 5, n.º 3 (julio de 2014): 49–67. http://dx.doi.org/10.4018/ijagr.2014070104.
Texto completoChong, De Wei, Kenny y Abel Yang. "Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning". EPJ Web of Conferences 206 (2019): 09006. http://dx.doi.org/10.1051/epjconf/201920609006.
Texto completoRock, Elana Esterson, Michael S. Rosenberg y Deborah T. Carran. "Variables Affecting the Reintegration Rate of Students with Serious Emotional Disturbance". Exceptional Children 61, n.º 3 (diciembre de 1994): 254–68. http://dx.doi.org/10.1177/001440299506100305.
Texto completoSarychev, Alexander y Lyudmila Sarycheva. "GMDH-BASED OPTIMAL SET FEATURES DETERMINATION IN DISCRIMINANT ANALYSIS". System technologies 6, n.º 125 (27 de diciembre de 2019): 26–40. http://dx.doi.org/10.34185/1562-9945-6-125-2019-03.
Texto completoChen, Jie, Jing-Yun Wen, Zhan-Hong Chen, Qu Lin, Xiao-Kun Ma, Li Wei, Xing Li et al. "Use of the mitotic kinase aurora-A activation to predict outcome for primary duodenal adenocarcinoma." Journal of Clinical Oncology 31, n.º 15_suppl (20 de mayo de 2013): 4131. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.4131.
Texto completoZhang, L., L. Ning, X. Zhang, Z. Q. Pan, X. Wang, F. Xu y Z. Z. Guan. "Preliminary analysis of biomarkers in plasma by SELDI to predict the response to EGFR tyrosine kinase inhibitors (TKIs) in NSCLC patients". Journal of Clinical Oncology 24, n.º 18_suppl (20 de junio de 2006): 7189. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.7189.
Texto completoBruni, Renato y Gianpiero Bianchi. "Effective Classification Using a Small Training Set Based on Discretization and Statistical Analysis". IEEE Transactions on Knowledge and Data Engineering 27, n.º 9 (1 de septiembre de 2015): 2349–61. http://dx.doi.org/10.1109/tkde.2015.2416727.
Texto completoMarković, Milan Ž., Milan M. Milosavljević y Branko D. Kovačević. "Quadratic classifier with sliding training data set in robust recursive AR speech analysis". Speech Communication 37, n.º 3-4 (julio de 2002): 283–302. http://dx.doi.org/10.1016/s0167-6393(01)00019-x.
Texto completoBae, Han Suk. "A Phenomenological Analysis on the Experiences of Using English for MICE Purposes: Suggestions for ESP Training in Tourism". Studies in English Education 27, n.º 3 (30 de septiembre de 2022): 441–65. http://dx.doi.org/10.22275/see.27.3.09.
Texto completoM. Daoud, Daoud y Samir Abou El-Seoud. "Building a Sentiment Analysis System Using Automatically Generated Training Dataset". International Journal of Online and Biomedical Engineering (iJOE) 16, n.º 06 (28 de mayo de 2020): 48. http://dx.doi.org/10.3991/ijoe.v16i06.13623.
Texto completoDaura-Oller, Elias, Maria Cabré, Miguel A. Montero, José L. Paternáin y Antoni Romeu. "A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions". Comparative and Functional Genomics 2009 (2009): 1–7. http://dx.doi.org/10.1155/2009/549387.
Texto completoBenedik, Ľudovít. "Psycho-Physiological Aspects in Karate Sports Preparation". Sport i Turystyka. Środkowoeuropejskie Czasopismo Naukowe 3, n.º 2 (2020): 79–90. http://dx.doi.org/10.16926/sit.2020.03.14.
Texto completoFletcher, Roger y Gaetano Zanghirati. "Binary separation and training support vector machines". Acta Numerica 19 (mayo de 2010): 121–58. http://dx.doi.org/10.1017/s0962492910000024.
Texto completoMüller, Evamaria, Alena Strukava, Isabelle Scholl, Martin Härter, Ndeye Thiab Diouf, France Légaré y Angela Buchholz. "Strategies to evaluate healthcare provider trainings in shared decision-making (SDM): a systematic review of evaluation studies". BMJ Open 9, n.º 6 (junio de 2019): e026488. http://dx.doi.org/10.1136/bmjopen-2018-026488.
Texto completoTurki, Turki, Zhi Wei y Jason T. L. Wang. "A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction". Journal of Bioinformatics and Computational Biology 16, n.º 03 (junio de 2018): 1840014. http://dx.doi.org/10.1142/s0219720018400140.
Texto completoShi, Dawei, Chao Li, Zhu Zhu, Runqing Lv, Shengjie Chen y Yunfeng Zhu. "The Prediction Algorithm and Characteristics Analysis of Kuroshio Sea Surface Temperature Anomalies". Advances in Meteorology 2022 (27 de abril de 2022): 1–8. http://dx.doi.org/10.1155/2022/7236527.
Texto completoYAMIN, Muhammad Mudassar y Basel KATT. "Cyber Security Skill Set Analysis for Common Curricula Development". International Journal of Information Security and Cybercrime 8, n.º 1 (28 de junio de 2019): 59–64. http://dx.doi.org/10.19107/ijisc.2019.01.08.
Texto completoMandal, Satyendra Nath, Pritam Ghosh, Nanigopal Shit, Dilip Kumar Hajra y Santanu Banik. "A Framework for Selection of Training Algorithm of Neuro-Statistic Model for Prediction of Pig Breeds in India". Vietnam Journal of Computer Science 08, n.º 01 (26 de septiembre de 2020): 153–75. http://dx.doi.org/10.1142/s2196888821500068.
Texto completoZhao, Yaning, Li Wang, Nannan Zhang, Xiangwei Huang, Lunke Yang y Wenbiao Yang. "Co-Training Semi-Supervised Learning for Fine-Grained Air Quality Analysis". Atmosphere 14, n.º 1 (9 de enero de 2023): 143. http://dx.doi.org/10.3390/atmos14010143.
Texto completoPark, Min Jun y Mauricio D. Sacchi. "Automatic velocity analysis using convolutional neural network and transfer learning". GEOPHYSICS 85, n.º 1 (22 de noviembre de 2019): V33—V43. http://dx.doi.org/10.1190/geo2018-0870.1.
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