검색어 : 통합검색[Ensemble Modern]
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121
- Wind power generation forecasting based on multi‐model fusion via blending ensemble learning architecture
- Wang, Jian; Hou, Yanpeng; Ma, Zhiqi; Qi, Jianming; State Grid Liaoning Electric Power Co., Ltd. Benxi Electric Power Supply Company Benxi China; State Grid Liaoning Electric Power Co., Ltd. Benxi Electric Power Supply Company Benxi China; State Grid Liaoning Electric Power Co., Ltd. Benxi Electric Power Supply Company Benxi China; State Grid Liaoning Electric Power Co., Ltd. Benxi Electric Power Supply Company Benxi China; (Electronics letters, v.60, 2024, pp.e13314)
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122
- Neutrinos generating inhomogeneities and magnetic fields in the early universe
- Shukla, P. K.; Bingham, R.; Mendonç a, J. T.; Stenflo, L.; Institut fü r Theoretische Physik, Fakultä t fü r Physik und Astronomie, Ruhr-Universitä t Bochum, D-44780 Bochum, Germany; Rutherford Appleton Laboratory, Chilton, Didcot, Oxon OX11 0QX, United Kingdom; Centro de Fı́ sica de Plasmas, Instituto Superior Té cnico, Av. Rovisco Pais 1, 1096 Lisboa Codex, Portugal; Department of Plasma Physics, Umeå University, S-90187 Umeå , Sweden; (Physics of plasmas, v.5, 1998, pp.2815-2817)
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123
- Data assimilation technique based on the ensemble π-algorithm
- Klimova, E. G.; ; (Russian meteorology and hydrology, v.33, 2008, pp.570-576)
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124
- Model complexity versus ensemble size: allocating resources for climate prediction
- Ferro, Christopher A. T.; Jupp, Tim E.; Lambert, F. Hugo; Huntingford, Chris; Cox, Peter M.; National Centre for Atmospheric Science, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK; Mathematics Research Institute, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK; Mathematics Research Institute, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK; Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK; Mathematics Research Institute, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK; (Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, v.370, 2012, pp.1087-1099)
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125
- PEK BUNG, A TRADITIONAL MUSIC ENSEMBLE IN PANDAK, BANTUL
- Budi Noor Sulistya; ; (Jantra., v.14, 2019, pp.193-202)
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126
- Identifying properties of pattern completion neurons in a computational model of the visual cortex
- Baker, Casey M.; Gong, Yiyang; Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America; Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America; (PLoS computational biology, v.19, 2023, pp.e1011167)
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127
- A Comparison of Artificial Neural Networks and Bootstrap Aggregating Ensembles in a Modern Financial Derivative Pricing Framework
- du Plooy, Ryno; Venter, Pierre J.; Department of Finance and Investment Management, University of Johannesburg, P.O. Box 524, Auckland Park 2006, South Africa; Department of Finance and Investment Management, University of Johannesburg, P.O. Box 524, Auckland Park 2006, South Africa; (Journal of risk and financial management, v.14, 2021, pp.254)
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128
- Oriental concepts in modern chamber and instrumental music (on the example of the “Igeru” repertoire)
- Jumaniyazova R; Казахская национальная консерватория имени Курмангазы, Алматы, Казахстан; Мyltykbayeva M; Казахская национальная консерватория имени Курмангазы, Алматы, Казахстан; ; (Bulletin of the Karaganda University. Pedagogy series, v.105, 2022, pp.39-48)
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129
- 융선 기울기의 변화량을 이용한 앙상블 지문분류 시스템
- 윤경배; 박창희; 김포대학; 연세대학교; (한국지능시스템학회 논문지, v.13, 2003, pp.545-551)
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130
- Diversity and degrees of freedom in regression ensembles
- Reeve, Henry WJ; Brown, Gavin; Corresponding author.; (Neurocomputing, v.298, 2018, pp.55-68)
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