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Decision tree learning

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting

Lakshmana Ayaru, Petros-Pavlos Ypsilantis, [ ... ], Giovanni Montana

An efficient incremental learning mechanism for tracking concept drift in spam filtering

Jyh-Jian Sheu, Ko-Tsung Chu, Nien-Feng Li, Cheng-Chi Lee

Detecting fabrication in large-scale molecular omics data

Michael S. Bradshaw, Samuel H. Payne

Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree

Chang Zhou, Hua Yu, [ ... ], Xiu-Jun Gong

Machine learning-based identification of genetic interactions from heterogeneous gene expression profiles

Chihyun Park, JungRim Kim, Jeongwoo Kim, Sanghyun Park

Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data

Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe

Swept source optical coherence tomography to early detect multiple sclerosis disease. The use of machine learning techniques

Amaya Pérez del Palomar, José Cegoñino, [ ... ], Elena Garcia-Martin

A New Avenue for Classification and Prediction of Olive Cultivars Using Supervised and Unsupervised Algorithms

Amir H. Beiki, Saba Saboor, Mansour Ebrahimi

Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics

Shuang-Li Zhu, Jie Dong, [ ... ], Wensheng Pan

Topology identification in distribution system via machine learning algorithms

Peyman Razmi, Mahdi Ghaemi Asl, Giorgio Canarella, Afsaneh Sadat Emami

Event detection in football: Improving the reliability of match analysis

Jonas Bischofberger, Arnold Baca, Erich Schikuta

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

Jing Xu, Jie Wang, [ ... ], Xin Gao

Deep Belief Networks Learn Context Dependent Behavior

Florian Raudies, Eric A. Zilli, Michael E. Hasselmo

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