Results 21 to 30 of about 150,441 (331)
Travel Time Prediction using Tree-Based Ensembles
, 2020 In this paper, we consider the task of predicting travel times between two arbitrary points in an urban scenario. We view this problem from two temporal perspectives: long-term forecasting with a horizon of several days and short-term forecasting with a ...
B Yu +12 more
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Predicting rental listing popularity : 2 Sigma connect Renthop [PDF]
, 2017 Renting a perfect apartment can be a hassle. There are plenty of features people care about when it comes to finding the apartment, such as price, hardwood floor, dog park, laundry room, etc.
Cai, Shiyao
core +1 more source
Learning to Tune XGBoost with XGBoost
, 2019 In this short paper we investigate whether meta-learning techniques can be used to more effectively tune the hyperparameters of machine learning models using successive halving (SH). We propose a novel variant of the SH algorithm (MeSH), that uses meta-regressors to determine which candidate configurations should be eliminated at each round.
Sommer, Johanna +2 more
openaire +2 more sources
, 2021 The XGBoost method has many advantages and is especially suitable for statistical analysis of big data, but its loss function is limited to convex functions. In many specific applications, a nonconvex loss function would be preferable. In this paper, I propose a generalized XGBoost method, which requires weaker loss function constraint and involves ...
openaire +2 more sources
Feature Interactions in XGBoost
, 2020 In this paper, we investigate how feature interactions can be identified to be used as constraints in the gradient boosting tree models using XGBoost's implementation. Our results show that accurate identification of these constraints can help improve the performance of baseline XGBoost model significantly.
Goyal, Kshitij +2 more
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Implementation of Ensemble Methods on Classification of CDK2 Inhibitor as Anti-Cancer Agent
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 Cancer is known as the second leading cause of death worldwide. About 7-10 million cases of death by cancer occur every year. The recent treatment to heal the cancer is chemotherapy.
Isman Kurniawan +3 more
doaj +1 more source
Privacy-Preserving XGBoost Inference
, 2020 Although machine learning (ML) is widely used for predictive tasks, there are important scenarios in which ML cannot be used or at least cannot achieve its full potential. A major barrier to adoption is the sensitive nature of predictive queries. Individual users may lack sufficiently rich datasets to train accurate models locally but also be unwilling
Meng, Xianrui, Feigenbaum, Joan
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HDEC – Enhanced Classification Heart Disease Detection by ECG Signals [PDF]
EPJ Web of ConferencesEarly prediction and detection of heart disease is crucial for rapid intervation and improved patient outcomes. This study proposes HDEC (Heart Disease Detection using ECG), a hybrid framework combining Kalman filtering, Convolutional Neural Networks ...
Agrawal G., Uke Nilesh J.
doaj +1 more source
Cauchy: Jurnal Matematika Murni dan AplikasiClassifying imbalanced datasets presents significant challenges, often leading to biased model performance, particularly in multiclass classification.
Nabila Ayunda Sovia +3 more
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Current Directions in Biomedical Engineering, 2023 This study attempts to detect and differentiate Multi Drug Resistant (MDR) - Tuberculosis (TB) and Drug Sensitive (DS)-TB Chest Radiographs (CXR) using local texture descriptors and Ensemble Learning method.
Govindarajan Satyavratan +2 more
doaj +1 more source