random forests, and neural networks, significantly contributed to epitope scoring. These approaches advanced the identification of epitopic regions capable of eliciting robust immune responses (30, 32 ...

For this reason, an algorithm that can solve these problems is effective and highly sought after. This article proposes a novel systematic framework using a two-phase distributed ruin-and-recreate ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

This project predicts medical insurance charges based on various a_test_trit_testingutes of individuals. It utilizes a Random Forest Regressor model, with hyperparameter tuning performed using ...

The Browser Company shifts focus from Arc to Dia, an AI-powered browser, placing Arc in maintenance as it explores open sourcing or selling it. Dark LLMs like WormGPT bypass safety limits to aid ...

We will test these two types of algorithms on the profile data of the candidates for the HoR West Java in the 2019 legislative elections. In this paper, we compare the Random Forest bagging algorithm ...