Results 81 to 90 of about 6,745,293 (217)
Predicting IPO initial returns using random forest
Borsa Istanbul Review, 2020 Empirical analyses of IPO initial returns are heavily dependent on linear regression models. However, these models can be inefficient due to its sensitivity to outliers which are common in IPO data.
Boubekeur Baba, Güven Sevil
doaj +1 more source
Analysis of purely random forests bias [PDF]
, 2014 Random forests are a very effective and commonly used statistical method, but their full theoretical analysis is still an open problem. As a first step, simplified models such as purely random forests have been introduced, in order to shed light on the ...
Arlot, Sylvain, Genuer, Robin
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Spatially Adaptive Random Forests [PDF]
2013 IEEE 10th International Symposium on Biomedical Imaging, 2013 Medical imaging protocols produce large amounts of multi- modal volumetric images. The large size of the datasets contributes to the success of supervised discriminative methods for semantic image segmentation. Classifying relevant structures in medical images is challenging due to (a) the large size of data volumes, and (b) the severe class overlap in
Geremia, Ezequiel +2 more
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Remote Sensing of Environment, 2019 Fine particulate matter (PM2.5) is closely related to the atmospheric environment and human life. Satellite-based aerosol optical depth (AOD) products have been widely applied in estimating daily PM2.5 concentrations over large areas using statistical ...
Jing Wei +6 more
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A tale of two "forests": random forest machine learning AIDS tropical forest carbon mapping.
PLoS ONE, 2014 Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus).
Joseph Mascaro +7 more
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FACADE SEGMENTATION WITH A STRUCTURED RANDOM FOREST [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 In this paper we present a bottom-up approach for the semantic segmentation of building facades. Facades have a predefined topology, contain specific objects such as doors and windows and follow architectural rules.
K. Rahmani, H. Huang, H. Mayer
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Banzhaf random forests: Cooperative game theory based random forests with consistency [PDF]
Neural Networks, 2018 Random forests algorithms have been widely used in many classification and regression applications. However, the theory of random forests lags far behind their applications. In this paper, we propose a novel random forests classification algorithm based on cooperative game theory.
Jianyuan Sun +3 more
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A version of the random directed forest and its convergence to the Brownian web
, 2018 Several authors have studied convergence in distribution to the Brownian web under diffusive scaling of Markovian random walks. In a paper by R. Roy, K. Saha and A. Sarkar, convergence to the Brownian web is proved for a system of coalescing random paths
Valle, Glauco, Zuaznábar, Leonel
core
IDRandom-Forest: Advanced Random Forest for Real-Time Intrusion Detection
IEEE AccessIn the last decade, with the increase in cyberattacks the privacy of network traffic has become a critical issue. Currently, simple network intrusion detection techniques are inefficient in terms of time complexity and are characterized by low detection ...
Muhammad Azhar +3 more
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Atmosphere, 2019 In recent years, air pollution has become an important public health concern. The high concentration of fine particulate matter with diameter less than 2.5 µm (PM2.5) is known to be associated with lung cancer, cardiovascular disease, respiratory disease,
Mehdi Zamani Joharestani +4 more
semanticscholar +1 more source