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专题定制
- Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases
- Wake Forest Sch Med Dept Biostat Sci Winston Salem NC 27101 USAWake Forest Sch Med Dept Social Sci & Hlth Policy Winston Salem NC USAHarvard Med Sch Brigham & Womens Hosp Dept Med Boston MA USAUniv Iowa Coll Publ Hlth Dept Epidemiol Iowa City IA USAUniv Calif Los Angeles Dept Prevent Med Los Angeles CA USANatl Inst Aging Lab Behav Neurosci Baltimore MD USA
- 来源 详细信息
- A comparison of machine learning methods for cutting parameters prediction in high speed turning process
- Univ Rijeka Fac Engn Vukovarska 58 Rijeka 51000 CroatiaUniv Maribor Fac Mech Engn Smetanova Ulica 17 Maribor 2000 Slovenia
- 来源 详细信息
- The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data
- Univ Cambridge Intellectual Property & Innovat Management IIPM R Dept Engn Inst Mfg IfMCTM Cambridge England
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来源
ScienceDirect Journa...
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- High-Speed Channel Modeling With Machine Learning Methods for Signal Integrity Analysis
- Google Inc Mountain View CA 94043 USAStanford Univ Dept Math Stanford CA 94305 USA
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- Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods
- Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Shanghai 200240 Peoples R China
- 来源 详细信息
- Modelling the potential distribution of an invasive mosquito species: comparative evaluation of four machine learning methods and their combinations
- Leibniz Ctr Agr Landscape Res Eberswalder Str 84 D-15374 Muncheberg GermanyFriedrich Loeffler Inst Fed Res Inst Anim Hlth Sudufer 10 D-17493 Greifswald Insel Riems GermanyFree Univ Berlin Konigin Luise Str 1-3 D-14195 Berlin GermanyRuhr Univ Bochum Univ Str 150 D-44801 Bochum Germany
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来源
ScienceDirect Journa...
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- Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia
- NSW Dept Primary Ind Wagga Wagga Agr Inst Wagga Wagga NSW 2650 AustraliaCharles Sturt Univ Sch Comp & Math Wagga Wagga NSW AustraliaUniv New South Wales Climate Change Res Ctr Sydney NSW AustraliaUniv New South Wales ARC Ctr Excellence Climate Extremes Sydney NSW AustraliaNSW Off Environm & Heritage Dept Planning & Environm Sydney NSW AustraliaNSW Dept Primary Ind Orange Agr Inst Orange NSW AustraliaUniv Technol Sydney Sch Life Sci Fac Sci Sydney NSW AustraliaUniv Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Water Cycle & Related Land Surface Proc Beijing Peoples R ChinaNorthwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P Yangling Shaanxi Peoples R China
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- Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods
- Ben Gurion Univ Negev Cyber Secur Res Ctr Malware Lab Beer Sheva IsraelBen Gurion Univ Negev Dept Software & Informat Syst Engn Beer Sheva IsraelBen Gurion Univ Negev Dept Ind Engn & Management Beer Sheva Israel
- 来源 详细信息
- 基于数据挖掘和机器学习方法的网络异常检测技术
- 桂林电子科技大学海洋信息工程学院 广西壮族自治区桂林市536000
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