„Random Forest“

Suchergebnisse

2.422 Treffer

• QUANTIFYING THE RELATIONSHIP BETWEEN NATURAL AND SOCIOECONOMIC FACTORS AND WITH FINE PARTICULATE MATTER (PM2.5) POLLUTION BY INTEGRATING REMOTE SENSING AND GEOSPATIAL BIG DATA
  Yang, C. ; Zhan, Q. ; Zhang, J. ; Liu, H. ; Fan, Z.
• A random survival forest illustrates the importance of natural enemies compared to host plant quality on leaf beetle survival rates
  Verschut, Thomas A. ; Hambäck, Peter A.
• Integration of gene interaction information into a reweighted random survival forest approach for accurate survival prediction and survival biomarker discovery
  Wang, Wei ; Liu, Wei
• Regression conformal prediction with random forests
  Johansson, Ulf ; Boström, Henrik ; Löfström, Tuve ; Linusson, Henrik
• The effect of splitting on random forests
  Ishwaran, Hemant
• DCNR: deep cube CNN with random forest for hyperspectral image classification
  Li, Tao ; Leng, Jiabing ; Kong, Lingyan ; Guo, Song ; Bai, Gang ; Wang, Kai
• Upper body motion recognition based on key frame and random forest regression
  Li, Bo ; Bai, Baoxing ; Han, Cheng
• Short-term prediction of groundwater level using improved random forest regression with a combination of random features
  Wang, Xuanhui ; Liu, Tailian ; Zheng, Xilai ; Peng, Hui ; Xin, Jia ; Zhang, Bo
• Comparison of landslide susceptibility maps using random forest and multivariate adaptive regression spline models in combination with catchment map units
  Chu, Lei ; Wang, Liang-Jie ; Jiang, Jiang ; Liu, Xia ; Sawada, Kazuhide ; Zhang, Jinchi
• Segmentation of ischemic stroke lesion from 3d mr images using random forest
  Gautam, Anjali ; Raman, Balasubramanian
• Maschinelles Lernen – Grundlagen und Algorithmen in Python
  Frochte, Jörg 2018 Carl Hanser Verlag GmbH & Co. KG
• Lying position classification based on ECG waveform and random forest during sleep in healthy people
  Pan, Hongze ; Xu, Zhi ; Yan, Hong ; Gao, Yue ; Chen, Zhanghuang ; Song, Jinzhong ; Zhang, Yu
• The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum
  Corrigan, A. ; Russell, N. ; Welge, M. ; Auvil, L. ; Bushell, C. ; White, B. A. ; Murphy, R. A.
• Efficient Venn predictors using random forests
  Johansson, Ulf ; Löfström, Tuve ; Linusson, Henrik ; Boström, Henrik
• Using random forest algorithm to predict super-secondary structure in proteins
  Hu, Xiu-zhen ; Long, Hai-xia ; Ding, Chang-jiang ; Gao, Su-juan ; Hou, Rui
• Random Forests and Networks Analysis
  Avena, Luca ; Castell, Fabienne ; Gaudillière, Alexandre ; Mélot, Clothilde
• MULTI-DATE SENTINEL1 SAR IMAGE TEXTURES DISCRIMINATE PERENNIAL AGROFORESTS IN A TROPICAL FOREST-SAVANNAH TRANSITION LANDSCAPE
  Numbisi, F. N. ; Van Coillie, F. ; De Wulf, R.
• EFFECT OF DIFFERENT SEGMENTATION METHODS USING OPTICAL SATELLITE IMAGERY TO ESTIMATE FUZZY CLUSTERING PARAMETERS FOR SENTINEL-1A SAR IMAGES
  Bayram, B. ; Demir, N. ; Akpinar, B. ; Oy, S. ; Erdem, F. ; Vögtle, T. ; Seker, D. Z.
• A cautionary note on elasticity analyses in a ternary plot using randomly generated population matrices
  Takada, Takenori ; Kawai, Yuka ; Salguero-Gómez, Roberto
• An approach to predict the height of fractured water-conducting zone of coal roof strata using random forest regression
  Zhao, Dekang ; Wu, Qiang