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Random Forest
In this chapter, another machine learning algorithm called Random Forest will be considered. As data-driven performance analysis in sports is...
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Data-driven multinomial random forest: a new random forest variant with strong consistency
In this paper, we modify the proof methods of some previously weakly consistent variants of random forest into strongly consistent proof methods, and...
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Random Forest
In diesem Kapitel soll ein weiterer Machine-Learning-Algorithmus namens Random Forest betrachtet werden. Da die datengestützte Performance-Analyse im...
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HFedRF: Horizontal Federated Random Forest
Real-world data is typically dispersed among numerous businesses or governmental agencies, making it difficult to integrate them into data privacy...
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Random Forest Algorithm for Forest Fire Prediction
Forest fires threaten the national forestry resources and also endanger the safety of residents. In the past, forest fire research has mostly focused...
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Forest fire map**: a comparison between GIS-based random forest and Bayesian models
In recent decades, fires in natural ecosystems, particularly forests and rangelands, have emerged as a significant threat. To address this challenge,...
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Random forest-based multipath parameter estimation
Multipath is recognized as one of the major error sources for GNSS urban navigation. This study proposes a random forest (RF)-based multipath...
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FEDSET: Federated Random Forest Based on Differential Privacy
The rapid development of the federated machine learning paradigm has broken down the data barriers in technology between different organizations and...
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Packet Classification Using Improved Random Forest Algorithm
Packet classification in Software-Defined Network (SDN) is a bottleneck process that falls in the critical path of the packet processing in network...
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Random Forest in Federated Learning Setting
Federated learning has become popular nowadays since being started by Google in develo** their Google Keyboard solution. Original federated...
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Quantum Circuit for Random Forest Prediction
AbstractIn this work, we present a quantum circuit for a binary classification prediction algorithm using a random forest model. The quantum...
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Example-Based Explanations of Random Forest Predictions
A random forest prediction can be computed by the scalar product of the labels of the training examples and a set of weights that are determined by...
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Random Forest Pruning Techniques: A Recent Review
Random forest is one of the most used machine learning algorithms since its high predictive performance. However, many studies criticize it for the...
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GeoRF: a geospatial random forest
The geospatial domain increasingly relies on data-driven methodologies to extract actionable insights from the growing volume of available data....
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Random forest classifier for high entropy alloys phase diagnosis
The random forest (RF) algorithm is considered as a powerful statistical classifier that is more popular in other fields but is relatively unknown in...
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FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring
Wearable health monitoring is a crucial technical tool that offers early warning for chronic diseases due to its superior portability and low power...
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Random forest evaluation using multi-key homomorphic encryption and lookup tables
In recent years, machine learning (ML) has become increasingly popular in various fields of activity. Cloud platforms have also grown in popularity,...
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Classification of Credit Card Delinquent Customers Using Random Forest Algorithm
Customers receive a little plastic payment card called a credit card. It allows the holder access to the market to purchase goods and services mostly...
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Heartbeat Classification Using MLP and Random Forest Techniques
This work aims at presenting a method for heartbeat classification based on multi-layer perceptron (MLP) and random forest (RF) techniques applied...