Artículos de revistas sobre el tema "STATISTICAL FEATURE RANKING"
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MANSOORI, EGHBAL G. "USING STATISTICAL MEASURES FOR FEATURE RANKING". International Journal of Pattern Recognition and Artificial Intelligence 27, n.º 01 (febrero de 2013): 1350003. http://dx.doi.org/10.1142/s0218001413500031.
Texto completoNaim, Faradila, Mahfuzah Mustafa, Norizam Sulaiman y Zarith Liyana Zahari. "Dual-Layer Ranking Feature Selection Method Based on Statistical Formula for Driver Fatigue Detection of EMG Signals". Traitement du Signal 39, n.º 3 (30 de junio de 2022): 1079–88. http://dx.doi.org/10.18280/ts.390335.
Texto completoSoheili, Majid, Amir-Masoud Eftekhari Moghadam y Mehdi Dehghan. "Statistical Analysis of the Performance of Rank Fusion Methods Applied to a Homogeneous Ensemble Feature Ranking". Scientific Programming 2020 (10 de septiembre de 2020): 1–14. http://dx.doi.org/10.1155/2020/8860044.
Texto completoMogstad, Magne, Joseph Romano, Azeem Shaikh y Daniel Wilhelm. "Statistical Uncertainty in the Ranking of Journals and Universities". AEA Papers and Proceedings 112 (1 de mayo de 2022): 630–34. http://dx.doi.org/10.1257/pandp.20221064.
Texto completoZhang, Zhicheng, Xiaokun Liang, Wenjian Qin, Shaode Yu y Yaoqin Xie. "matFR: a MATLAB toolbox for feature ranking". Bioinformatics 36, n.º 19 (8 de julio de 2020): 4968–69. http://dx.doi.org/10.1093/bioinformatics/btaa621.
Texto completoSADEGHI, SABEREH y HAMID BEIGY. "A NEW ENSEMBLE METHOD FOR FEATURE RANKING IN TEXT MINING". International Journal on Artificial Intelligence Tools 22, n.º 03 (junio de 2013): 1350010. http://dx.doi.org/10.1142/s0218213013500103.
Texto completoNovakovic, Jasmina, Perica Strbac y Dusan Bulatovic. "Toward optimal feature selection using ranking methods and classification algorithms". Yugoslav Journal of Operations Research 21, n.º 1 (2011): 119–35. http://dx.doi.org/10.2298/yjor1101119n.
Texto completoLeguia, Marc G., Zoran Levnajić, Ljupčo Todorovski y Bernard Ženko. "Reconstructing dynamical networks via feature ranking". Chaos: An Interdisciplinary Journal of Nonlinear Science 29, n.º 9 (septiembre de 2019): 093107. http://dx.doi.org/10.1063/1.5092170.
Texto completoWang, W., P. Jones y D. Partridge. "A Comparative Study of Feature-Salience Ranking Techniques". Neural Computation 13, n.º 7 (1 de julio de 2001): 1603–23. http://dx.doi.org/10.1162/089976601750265027.
Texto completoWerner, Tino. "A review on instance ranking problems in statistical learning". Machine Learning 111, n.º 2 (18 de noviembre de 2021): 415–63. http://dx.doi.org/10.1007/s10994-021-06122-3.
Texto completoPolaka, Inese. "Feature Selection Approaches In Antibody Display". Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (5 de agosto de 2015): 16. http://dx.doi.org/10.17770/etr2011vol2.998.
Texto completoHasan y Kim. "A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals". Brain Sciences 9, n.º 12 (13 de diciembre de 2019): 376. http://dx.doi.org/10.3390/brainsci9120376.
Texto completoSeo, Jinwook y Ben Shneiderman. "A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data". Information Visualization 4, n.º 2 (19 de mayo de 2005): 96–113. http://dx.doi.org/10.1057/palgrave.ivs.9500091.
Texto completoLee, Won-Yung, Sang Hyuk Kim, Siwoo Lee, Young Woo Kim y Ji-Hwan Kim. "Exploratory Analysis of the Sasang Constitution by Combining Network Analysis and Information Entropy". Healthcare 10, n.º 11 (10 de noviembre de 2022): 2248. http://dx.doi.org/10.3390/healthcare10112248.
Texto completoPatil, Abhijeet R., Jongwha Chang, Ming-Ying Leung y Sangjin Kim. "Analyzing high dimensional correlated data using feature ranking and classifiers". Computational and Mathematical Biophysics 7, n.º 1 (31 de diciembre de 2019): 98–120. http://dx.doi.org/10.1515/cmb-2019-0008.
Texto completoRana, Bharti, Akanksha Juneja y Ramesh Kumar Agrawal. "Relevant Feature Subset Selection from Ensemble of Multiple Feature Extraction Methods for Texture Classification". International Journal of Computer Vision and Image Processing 5, n.º 1 (enero de 2015): 48–65. http://dx.doi.org/10.4018/ijcvip.2015010103.
Texto completoSalama, Mostafa A. y Ghada Hassan. "A Novel Feature Selection Measure Partnership-Gain". International Journal of Online and Biomedical Engineering (iJOE) 15, n.º 04 (27 de febrero de 2019): 4. http://dx.doi.org/10.3991/ijoe.v15i04.9831.
Texto completoShi, Xin y Jiangming Kan. "The Sensitivity Feature Analysis for Tree Species Based on Image Statistical Properties". Forests 14, n.º 5 (21 de mayo de 2023): 1057. http://dx.doi.org/10.3390/f14051057.
Texto completoGrover, Chhaya y Neelam Turk. "Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation". Shock and Vibration 2020 (26 de agosto de 2020): 1–18. http://dx.doi.org/10.1155/2020/5742053.
Texto completoVashisht, Rohit y Syed Afzal Murtaza Rizvi. "An Empirical Study of Heterogeneous Cross-Project Defect Prediction Using Various Statistical Techniques". International Journal of e-Collaboration 17, n.º 2 (abril de 2021): 55–71. http://dx.doi.org/10.4018/ijec.2021040104.
Texto completoSireci, Stephen. "Beyond Ranking of Nations: Innovative Research on PISA". Teachers College Record: The Voice of Scholarship in Education 117, n.º 1 (enero de 2015): 1–8. http://dx.doi.org/10.1177/016146811511700101.
Texto completoSireci, Stephen. "Beyond Ranking of Nations: Innovative Research on PISA". Teachers College Record: The Voice of Scholarship in Education 117, n.º 1 (enero de 2015): 1–8. http://dx.doi.org/10.1177/016146811511700114.
Texto completoKHOSHGOFTAAR, TAGHI M., KEHAN GAO y AMRI NAPOLITANO. "AN EMPIRICAL STUDY OF FEATURE RANKING TECHNIQUES FOR SOFTWARE QUALITY PREDICTION". International Journal of Software Engineering and Knowledge Engineering 22, n.º 02 (marzo de 2012): 161–83. http://dx.doi.org/10.1142/s0218194012400013.
Texto completoYin, Xiaoxia, Samra Irshad y Yanchun Zhang. "Classifiers fusion for improved vessel recognition with application in quantification of generalized arteriolar narrowing". Journal of Innovative Optical Health Sciences 13, n.º 01 (25 de noviembre de 2019): 1950021. http://dx.doi.org/10.1142/s1793545819500214.
Texto completoLee, Younghee Cheri y Soomin Jwa. "Feature Importance Ranking of Translationese Markers in L2 Writing: A Corpus-Based Statistical Analysis Across Disciplines". English Teaching 78, n.º 2 (30 de junio de 2023): 55–81. http://dx.doi.org/10.15858/engtea.78.2.202206.55.
Texto completoLee, Younghee Cheri y Soomin Jwa. "Feature Importance Ranking of Translationese Markers in L2 Writing: A Corpus-Based Statistical Analysis Across Disciplines". English Teaching 78, n.º 2 (30 de junio de 2023): 55–81. http://dx.doi.org/10.15858/engtea.78.2.202306.55.
Texto completoOrzechowska, Paula. "In search of phonotactic preferences". Yearbook of the Poznan Linguistic Meeting 2, n.º 1 (1 de septiembre de 2016): 167–93. http://dx.doi.org/10.1515/yplm-2016-0008.
Texto completoChimlek, Sutasinee, Part Pramokchon y Punpiti Piamsa-nga. "The Selection of Useful Visual Words for Class-Imbalanced Data in Image Classification". International Journal of Electrical and Computer Engineering (IJECE) 6, n.º 1 (1 de febrero de 2016): 307. http://dx.doi.org/10.11591/ijece.v6i1.8633.
Texto completoChimlek, Sutasinee, Part Pramokchon y Punpiti Piamsa-nga. "The Selection of Useful Visual Words for Class-Imbalanced Data in Image Classification". International Journal of Electrical and Computer Engineering (IJECE) 6, n.º 1 (1 de febrero de 2016): 307. http://dx.doi.org/10.11591/ijece.v6i1.pp307-319.
Texto completoLin, Xixun, Yanchun Liang, Limin Wang, Xu Wang, Mary Qu Yang y Renchu Guan. "A Knowledge Base Completion Model Based on Path Feature Learning". International Journal of Computers Communications & Control 13, n.º 1 (12 de febrero de 2018): 71. http://dx.doi.org/10.15837/ijccc.2018.1.3104.
Texto completoBalogun, Abdullateef O., Shuib Basri, Saipunidzam Mahamad, Said J. Abdulkadir, Malek A. Almomani, Victor E. Adeyemo, Qasem Al-Tashi, Hammed A. Mojeed, Abdullahi A. Imam y Amos O. Bajeh. "Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study". Symmetry 12, n.º 7 (9 de julio de 2020): 1147. http://dx.doi.org/10.3390/sym12071147.
Texto completoLiu, Rui, Yangze Lu, Meng Huang, Qijia Xie y Yalong Tu. "Research on excavation and identification method of typical interference signal during transformer partial discharge test". Journal of Physics: Conference Series 2246, n.º 1 (1 de abril de 2022): 012026. http://dx.doi.org/10.1088/1742-6596/2246/1/012026.
Texto completoZhao, Jin Xian, Long Li y Min Liu. "The Research of Integrated Dynamic Analysis of Metro Project Objectives Based on PCA". Applied Mechanics and Materials 584-586 (julio de 2014): 2577–80. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.2577.
Texto completoOmejc, Nina, Manca Peskar, Aleksandar Miladinović, Voyko Kavcic, Sašo Džeroski y Uros Marusic. "On the Influence of Aging on Classification Performance in the Visual EEG Oddball Paradigm Using Statistical and Temporal Features". Life 13, n.º 2 (31 de enero de 2023): 391. http://dx.doi.org/10.3390/life13020391.
Texto completoMÀRQUEZ, LLUÍS y ALESSANDRO MOSCHITTI. "Special issue on statistical learning of natural language structured input and output". Natural Language Engineering 18, n.º 2 (14 de marzo de 2012): 147–53. http://dx.doi.org/10.1017/s135132491200006x.
Texto completoIqbal, Talha, Adnan Elahi, William Wijns, Bilal Amin y Atif Shahzad. "Improved Stress Classification Using Automatic Feature Selection from Heart Rate and Respiratory Rate Time Signals". Applied Sciences 13, n.º 5 (24 de febrero de 2023): 2950. http://dx.doi.org/10.3390/app13052950.
Texto completoMila Desi Anasanti, Khairunisa Hilyati y Annisa Novtariany. "The Exploring feature selection techniques on Classification Algorithms for Predicting Type 2 Diabetes at Early Stage". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, n.º 5 (2 de noviembre de 2022): 832–39. http://dx.doi.org/10.29207/resti.v6i5.4419.
Texto completoKshatriya, T. Tarun, R. Kumaraperumal, D. Muthumanickam, S. Pazhanivelan, K. P. Ragunath y M. Nivas Raj. "Identifying Prominent Environmental Covariates Using Variable Selection Methodologies for Digital Soil Mapping of Tamil Nadu, India". International Journal of Environment and Climate Change 13, n.º 9 (29 de julio de 2023): 2358–76. http://dx.doi.org/10.9734/ijecc/2023/v13i92469.
Texto completoDjemili, Rafik. "Analysis of statistical coefficients and autoregressive parameters over intrinsic mode functions (IMFs) for epileptic seizure detection". Biomedical Engineering / Biomedizinische Technik 65, n.º 6 (18 de noviembre de 2020): 693–704. http://dx.doi.org/10.1515/bmt-2019-0233.
Texto completoWiliński, A. y S. Osowski. "Ensemble of data mining methods for gene ranking". Bulletin of the Polish Academy of Sciences: Technical Sciences 60, n.º 3 (1 de diciembre de 2012): 461–70. http://dx.doi.org/10.2478/v10175-012-0058-x.
Texto completoPotharlanka, Jhansi Lakshmi, Maruthi Padmaja Turumella y Radha Krishna P. "A Study on Class Imbalancing Feature Selection and Ensembles on Software Reliability Prediction". International Journal of Open Source Software and Processes 10, n.º 4 (octubre de 2019): 20–43. http://dx.doi.org/10.4018/ijossp.2019100102.
Texto completoFushing, Hsieh, Michael P. McAssey y Brenda McCowan. "Computing a ranking network with confidence bounds from a graph-based Beta random field". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 467, n.º 2136 (3 de agosto de 2011): 3590–612. http://dx.doi.org/10.1098/rspa.2011.0268.
Texto completoShi, Di, Gunnar Gidion, Leonhard M. Reindl y Stefan J. Rupitsch. "Automatic Life Detection Based on Efficient Features of Ground-Penetrating Rescue Radar Signals". Sensors 23, n.º 15 (28 de julio de 2023): 6771. http://dx.doi.org/10.3390/s23156771.
Texto completoCarafini, Adriano, Isabel C. N. Sacco y Marcus Fraga Vieira. "Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection". PeerJ 7 (9 de diciembre de 2019): e8207. http://dx.doi.org/10.7717/peerj.8207.
Texto completoMularska-Kucharek, Monika y Kamil Brzeziński. "The Economic Dimension of Social Trust". European Spatial Research and Policy 23, n.º 2 (8 de junio de 2017): 83–95. http://dx.doi.org/10.1515/esrp-2016-0012.
Texto completoBaek, Seung Hyun, Alberto Garcia-Diaz y Yuanshun Dai. "Multi-choice wavelet thresholding based binary classification method". Methodology 16, n.º 2 (18 de junio de 2020): 127–46. http://dx.doi.org/10.5964/meth.2787.
Texto completoMairesse, F., M. A. Walker, M. R. Mehl y R. K. Moore. "Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text". Journal of Artificial Intelligence Research 30 (28 de noviembre de 2007): 457–500. http://dx.doi.org/10.1613/jair.2349.
Texto completoSindhu, R., Ruzelita Ngadiran, Yasmin Mohd Yacob, Nik Adilah Hanin Zahri, M. Hariharan y Kemal Polat. "A Hybrid SCA Inspired BBO for Feature Selection Problems". Mathematical Problems in Engineering 2019 (2 de abril de 2019): 1–18. http://dx.doi.org/10.1155/2019/9517568.
Texto completoSysyn, Mykola, Ulf Gerber, Olga Nabochenko, Yangyang Li y Vitalii Kovalchuk. "INDICATORS FOR COMMON CROSSING STRUCTURAL HEALTH MONITORING WITH TRACK-SIDE INERTIAL MEASUREMENTS". Acta Polytechnica 59, n.º 2 (30 de abril de 2019): 170–81. http://dx.doi.org/10.14311/ap.2019.59.0170.
Texto completoKovács, Melinda, Ferenc Lilik y Szilvia Nagy. "On Selecting, Ranking, and Quantifying Features for Building a Liver CT Diagnosis Aiding Computational Intelligence Method". Applied Sciences 13, n.º 6 (8 de marzo de 2023): 3462. http://dx.doi.org/10.3390/app13063462.
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