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Blindfolded Evaluation of Random Forests with Multi-Key Homomorphic Encryption
Applied Cryptography Decision Tree Homomorphic Encryption
2019/7/17
Decision tree and its generalization of random forests are a simple yet powerful machine learning model for many classification and regression problems. Recent works propose how to privately evaluate ...
Confidence Intervals for Random Forests:The Jackknife and the Infinitesimal Jackknife
bagging jackknife methods Monte Carlo noise variance estimation
2015/8/21
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimates for bagging propos...
Correction of approximation errors with Random Forests applied to modelling of cloud droplet formation
approximation errors Random Forests
2014/12/12
n atmospheric models, due to their computational
time or resource limitations, physical processes have to be
simulated using reduced (i.e. simplified) models.
Bush encroachment monitoring using multi-temporal Landsat data and random forests
Land degradation bush encroachment South Africa Landsat random forests classification
2014/11/28
It is widely accepted that land degradation and desertification (LDD) are serious global threats to humans and the environment. Around a third of savannahs in Africa are affected by LDD processes that...
RANDOM FORESTS BASED MULTIPLE CLASSIFIER SYSTEM FOR POWER-LINE SCENE CLASSIFICATION
LIDAR Classification Corridor Mapping Random Forests Multiple Classifier System Power-line
2014/6/5
The increasing use of electrical energy has yielded more necessities of electric utilities including transmission lines and electric pylons which require a real-time risk monitoring to prevent massive...
RANDOM FORESTS-BASED FEATURE SELECTION FOR LAND-USE CLASSIFICATION USING LIDAR DATA AND ORTHOIMAGERY
Lidar imagery Random Forests Classification Feature selection
2014/4/29
The development of lidar system, especially incorporated with high-resolution camera components, has shown great potential for urban classification. However, how to automatically select the best featu...
AIRBORNE LIDAR FEATURE SELECTION FOR URBAN CLASSIFICATION USING RANDOM FORESTS
Lidar Full-waveform Classifi cation Feature selection Random Forests Urban scenes
2016/2/29
Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar
feature selection for urban scene classification. Random fores...